references.bib

% Encoding: UTF-8
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  Mode{on}
  Collation{mixed}
  SortTypeOrder{pattern,key,name}
  NameOrder{ascending}
  Key{{author,editor},\year{year,note}}
  KeyOrder{descending,nulls first}
  Pattern{author+editor: "doron"}
  PatternOrder{first}
}


@article{kiur_ao09,
  author  = {A.\ {Der Kiureghian} and O.\ Ditlevsen},
  title   = {Aleatory or epistemic? Does it matter?},
  journal = {Structural Safety},
  volume  = 31,
  year    = 2009,
  pages   = {105--112}
}

@article{russell,
  author  = {B.~Russell},
  title   = {Vagueness},
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  volume  = 1,
  pages   = {84--92},
  year    = 1923
}


@inproceedings{Blum13,
  author    = {M.\ Blum and M.A.\ Riedmiller},
  title     = {Optimization of {G}aussian process hyperparameters using {R}prop},
  booktitle = {Proc.\ ESANN, 21st European Symposium on Artificial Neural Networks},
  address   = {Bruges, Belgium},
  year      = {2013}
}

@article{dest_up08,
  title   = {Unifying practical uncertainty representations: {I}. {G}eneralized p-boxes},
  author  = {S.\ Destercke and D.\ Dubois and E.\ Chojnacki},
  journal = {International Journal of Approximate Reasoning},
  volume  = 49,
  pages   = {649--663},
  year    = 2008
}


@book{puke_od,
  author    = {F.\ Pukelsheim},
  title     = {Optimal Design of Experiments},
  publisher = {SIAM},
  year      = 2006
}

@article{sour_ap18,
  title   = {A Probabilistic Active Learning Algorithm Based on {F}isher Information Ratio},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  author  = {J.\ Sourati and M.\ Akcakaya and D.\ Erdogmus and T.K.\ Leen and J.G.\ Dy},
  volume  = 40,
  number  = 8,
  year    = 2018
}


@article{lass_rc20,
  title   = {Representing credal imprecision: from sets of measures to hierarchical {B}ayesian models},
  author  = {D.\ Lassiter},
  journal = {Philosophical Studies},
  year    = 2020,
  note    = {forthcoming}
}

@book{frie_sf,
  author    = {B.R.\ Frieden},
  title     = {Science from Fisher Information: A Unification},
  publisher = {Cambridge University Press},
  year      = 2004
}

@inproceedings{dera_cs17,
  title     = {Credal Sum-Product Networks},
  author    = {D.\ Deratani Maau and F.G.\ Cozman and D.\ Conaty and C.\ Polpo de Campos},
  booktitle = {PMLR: Proceedings of Machine Learning Research (ISIPTA 2017)},
  volume    = 62,
  pages     = {205-216},
  year      = 2017
}

@article{bern_ai05,
  author  = {J.M.\ Bernardo},
  title   = {An introduction to the imprecise {D}irichlet model for multinomial data},
  journal = {International Journal of Approximate Reasoning},
  volume  = 39,
  number  = {2--3},
  pages   = {123--150},
  year    = 2005
}


@article{wolp_tl96,
  author  = {D.H.\ Wolpert},
  title   = {The lack of a priori distinctions between learning algorithms},
  journal = {Neural Computation},
  volume  = 8,
  number  = 7,
  pages   = {1341--1390},
  year    = 1996
}


@article{bach_hl17,
  title   = {Hinge-Loss Markov Random Fields and Probabilistic Soft Logic},
  author  = {S.H.\ Bach and M.\ Broecheler and B.\ Huang and L.\ Getoor},
  journal = {Journal of Machine Learning Research},
  volume  = 18,
  number  = 109,
  pages   = {1--67},
  year    = 2017
}

@article{mpub258,
  author  = {A.~Fallah Tehrani and W.~Cheng and K.~Dembczynski and E.~H\"ullermeier},
  title   = {Learning Monotone Nonlinear Models using the {C}hoquet Integral},
  journal = {Machine Learning},
  volume  = 89,
  number  = 1,
  pages   = {183--211},
  year    = 2012
}

@article{mpub244,
  author  = {A. Fallah Tehrani and W. Cheng and E.~H\"ullermeier},
  title   = {Preference Learning using the {C}hoquet Integral: {T}he Case of Multipartite Ranking},
  journal = {IEEE Transactions on Fuzzy Systems},
  volume  = 20,
  number  = 6,
  pages   = {1102--1113},
  year    = 2012
}

@techreport{guev_sm16,
  title       = {Supervised machine learning with kernel embeddings of fuzzy sets and probability measures},
  author      = {J.\ Guevara},
  institution = {Department of Computer Science, University of Sao Paulo},
  number      = {hal-01317746},
  year        = 2016
}


@incollection{alon_io15,
  author    = {J.M.\ Alonso and C.\ Castiello and C.\ Mencar},
  title     = {Interpretability of Fuzzy Systems: {C}urrent Research Trends and Prospects},
  editor    = {J.\ Kacprzyk and W.\ Pedrycz},
  booktitle = {Springer Handbook of Computational Intelligence},
  publisher = {Springer},
  address   = {Berlin, Heidelberg},
  pages     = {219--237},
  year      = 2015
}

@inproceedings{pota_ii16,
  author    = {M.\ Pota and M.\ Esposito and G.D.\ Pietro},
  title     = {Interpretability indexes for fuzzy classification in cognitive systems},
  booktitle = {IEEE International Conference on Fuzzy Systems},
  pages     = {24--31},
  year      = 2016
}


@article{cohe_ac60,
  author  = {J.\ Cohen},
  title   = {A coefficient of agreement for nominal scales},
  journal = {Educational and Psychological Measurement},
  volume  = 20,
  number  = 1,
  pages   = {37--46},
  year    = 1960
}

@article{zlio_em15,
  author  = {I.\ Zliobaite and A.\ Bifet and J.\ Read and B.\ Pfahringer and G.\ Holmes},
  title   = {Evaluation methods and decision theory for classification of streaming data with temporal dependence},
  journal = {Machine Learning},
  volume  = 98,
  number  = 3,
  pages   = {455--482},
  year    = 2015
}

@article{bend_ww06,
  author  = {Arie Ben{-}David},
  title   = {What's Wrong with Hit Ratio?},
  journal = {{IEEE} Intelligent Systems},
  volume  = {21},
  number  = {6},
  pages   = {68--70},
  year    = {2006}
}


@article{kuli_ml12,
  author  = {B.\ Kulis},
  title   = {Metric Learning: {A} Survey},
  journal = {Foundations and Trends in Machine Learning},
  volume  = 5,
  number  = 4,
  pages   = {287--364},
  year    = 2012
}

@article{grab_af11,
  title   = {Aggregation functions: {C}onstruction methods, conjunctive, disjunctive and mixed classes},
  author  = {M.\ Grabisch and J.L.\ Marichal and R.\ Mesiar and E.\ Pap},
  journal = {Information Sciences},
  volume  = 181,
  pages   = {23--43},
  year    = 2011
}


@article{spyr_mt16,
  title   = {Multi-target regression via input space expansion: treating targets as inputs},
  author  = {E.\ Spyromitros-Xioufis and G.\ Tsoumakas and W.\ Groves and I.\ Vlahavas},
  journal = {Machine Learning},
  volume  = 104,
  pages   = {55--98},
  year    = 2016
}


@article{jin_fm00,
  title   = {Fuzzy Modeling of High-Dimensional Systems: {C}omplexity Reduction and Interpretability Improvement},
  author  = {Y.\ Jin},
  journal = {IEEE Transactions on Fuzzy Systems},
  volume  = 8,
  number  = 2,
  year    = 2000
}


@inproceedings{nguy_cw08,
  author    = {N.\ Nguyen and R.\ Caruana},
  title     = {Classification with partial labels},
  booktitle = {Proc.\ KDD 2008, 14th Int.\ Conference on Knowledge Discovery and Data Mining},
  address   = {Las Vegas, USA},
  year      = 2008
}


@inproceedings{liu_lo14,
  author    = {L.P.\ Liu and T.G.\ Dietterich},
  title     = {Learnability of the Superset Label Learning Problem},
  booktitle = {Proc.\ ICML 2014, Int.\ Conference on Machine Learning},
  address   = {Beijing, China},
  year      = 2014
}



@article{clev_rl79,
  author  = {W.S.\ Cleveland},
  title   = {Robust locally weighted regression and smoothing scatterplots},
  journal = {Journal of the American Statistical Association},
  volume  = 74,
  number  = 368,
  year    = 1979
}

@inproceedings{liu_ac12,
  author    = {L.P.\ Liu and T.G.\ Dietterich},
  title     = {A Conditional Multinomial Mixture Model for Superset Label Learning},
  booktitle = {Proc.\ NIPS 2012, 26th Annual Conference on Neural Information Processing Systems},
  year      = 2012
}

@article{neal_bl12,
  author  = {R.M.\ Neal},
  title   = {Bayesian learning for neural networks},
  journal = {Springer Science \& Business Media},
  year    = 2012,
  volume  = 118
}


@inproceedings{grav_pv11,
  author    = {A.\ Graves},
  title     = {Practical variational inference for neural networks},
  booktitle = {Proc.\ NIPS, Advances in Neural Information Processing Systems},
  year      = 2011,
  pages     = {2348--2356}
}

@article{chan_fr01,
  journal = {Fuzzy Sets and Systems},
  volume  = 119,
  number  = 2,
  pages   = {187--203},
  title   = {Fuzzy regression methods---a comparative assessment},
  author  = {Y.H.O. Changa and B.M. Ayyubb},
  year    = 2001
}

@inproceedings{jie_lf10,
  author    = {L. Jie and F. Orabona},
  title     = {Learning from candidate labeling sets},
  booktitle = {Advances in Neural Information Processing Systems (NIPS)},
  year      = 2010
}

@inproceedings{sens_ed18,
  title     = {Evidential Deep Learning to Quantify Classification Uncertainty},
  author    = {M.\ Sensoy and L.\ Kaplan and M.\ Kandemir},
  booktitle = {Proc.\ NeurIPS, 32nd Conference on Neural Information Processing Systems},
  address   = {Montreal, Canada},
  year      = 2018
}


@inproceedings{mpub392,
  author    = {V.L.\ Nguyen and S.\ Destercke and E.\ H\"ullermeier},
  title     = {Epistemic uncertainty sampling},
  booktitle = {Proc.\ DS 2019, 22nd International Conference on Discovery Science},
  address   = {Split, Croatia},
  year      = 2019
}

@article{sava_bm12,
  title   = {Better Medicine Through Machine Learning},
  author  = {N. Savage},
  journal = {Communications of the ACM},
  volume  = 55,
  number  = 1,
  pages   = {17--19},
  year    = 2012
}

@book{vier_sm_11,
  title     = {Statistical Methods for Fuzzy Data},
  author    = {R. Viertl},
  publisher = {Wiley},
  year      = 2011
}

@inproceedings{gonz_gn04,
  author    = {C.~Gonzales and P.~Perny},
  title     = {{GAI} networks for utility elicitation},
  pages     = {224--234},
  booktitle = {Proc.\ 9th Int.\ Conf.\ Principles of Knowledge Representation and Reasoning},
  address   = {Whistler, Canada},
  year      = 2004
}

@article{drag_cp17,
  author        = {P.\ Dragone and S.\ Teso and A.\ Passerini},
  title         = {Constructive Preference Elicitation over Hybrid Combinatorial Spaces},
  journal       = {CoRR},
  volume        = {abs/1711.07875},
  year          = {2017},
  url           = {http://arxiv.org/abs/1711.07875},
  archiveprefix = {arXiv}
}

@article{hart_to28,
  author  = {R.V.L.\ Hartley},
  title   = {Transmission of information},
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  volume  = 7,
  number  = 3,
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  year    = 1928
}

@article{klir_ot87,
  author  = {G.J.\ Klir and M.\ Mariano},
  title   = {On the uniqueness of possibilistic measure of uncertainty and information},
  journal = {Fuzzy Sets and Systems},
  volume  = 24,
  number  = 2,
  pages   = {197--219},
  year    = 1987
}

@book{reny_pt,
  author    = {A.\ R\'enyi},
  title     = {Probability Theory},
  publisher = {North-Holland},
  address   = {Amsterdam},
  year      = 1970
} 

@article{pan_an19,
  title   = {A Novel Belief Entropy for Measuring Uncertainty in {D}empster-{S}hafer Evidence Theory Framework Based on Plausibility Transformation and Weighted {H}artley Entropy},
  author  = {Q.\ Pan and D.\ Zhou and Y.\ Tang and X.\ Li and J.\ Huang},
  journal = {Entropy},
  volume  = 21,
  year    = 2019
}

@article{abel_an00,
  author  = {J.\ Abellan and S.\ Moral},
  title   = {A non-specificity measure for convex sets of probability distributions},
  journal = {International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems},
  volume  = 8,
  pages   = {357--367},
  year    = 2000
}

@article{abel_dt06,
  author  = {J.\ Abellan and J.\ Klir and S.\ Moral},
  title   = {Disaggregated total uncertainty measure for credal sets},
  journal = {International Journal of General Systems},
  volume  = 35,
  number  = 1,
  year    = 2006
}


@inproceedings{mpub416,
  author    = {M.H.\ Shaker and
               E.\ H\"ullermeier},
  title     = {Aleatoric and Epistemic Uncertainty with Random Forests},
  booktitle = {Proc.\ IDA 2020, 18th International
               Symposium on Intelligent Data Analysis},
  address   = {Konstanz, Germany},
  series    = {LNCS},
  volume    = {12080},
  pages     = {444--456},
  publisher = {Springer},
  year      = {2020},
  doi       = {10.1007/978-3-030-44584-3\_35}
}

@article{endr_an03,
  author  = {D.M.\ Endres and J.E.\ Schindelin},
  title   = {A new metric for probability distributions},
  journal = {IEEE Transactions on Information Theory},
  volume  = 49,
  number  = 7,
  pages   = {1858--1860},
  year    = 2003
}

@article{abel_ao05,
  author  = {J.\ Abellan and J.\ Klir},
  title   = {Additivity of uncertainty measures on credal sets},
  journal = {International Journal of General Systems},
  volume  = 34,
  number  = 6,
  pages   = {691--713},
  year    = 2005
}

@article{barb_tl20,
  author        = {R.F.\ Barber and E.J.\ Candes and A.\ Ramdas and R.J.\ Tibshirani},
  title         = {The limits of distribution-free conditional predictive inference},
  journal       = {CoRR},
  volume        = {abs/1903.04684v2},
  year          = {2020},
  url           = {http://arxiv.org/abs/1903.04684v2},
  archiveprefix = {arXiv}
}

@inproceedings{hend_ab17,
  author    = {D.\ Hendrycks and K.\ Gimpel},
  title     = {A baseline for detecting misclassified and out-of-distribution examples in neural networks},
  booktitle = {Proc. ICLR, Int.\ Conference on Learning Representations},
  year      = 2017
}

@inproceedings{lian_et18,
  author    = {S.\ Liang and Y.\ Li and R.\ Srikant},
  title     = {Enhancing the reliability of out-of-distribution image detection in neural networks},
  booktitle = {Proc. ICLR, Int.\ Conference on Learning Representations},
  year      = 2018
}


@article{devr_lc18,
  author        = {T.\ DeVries and G.W.\ Taylor},
  title         = {Learning confidence for out-of-distribution detection in neural networks},
  journal       = {CoRR},
  volume        = {abs/1802.04865},
  year          = {2018},
  url           = {http://arxiv.org/abs/1802.04865},
  archiveprefix = {arXiv}
}



@article{pape_dk18,
  author        = {N.\ Papernot and P.\ McDaniel},
  title         = {Deep k-Nearest Neighbors: {T}owards Confident, Interpretable and Robust Deep Learning},
  journal       = {CoRR},
  volume        = {abs/1803.04765v1},
  year          = {2018},
  url           = {http://arxiv.org/abs/1803.04765},
  archiveprefix = {arXiv}
}


@incollection{mali_pu18,
  author    = {A.\ Malinin and M.\ Gales},
  title     = {Predictive Uncertainty Estimation via Prior Networks},
  booktitle = {Proc.\ NeurIPS, 32nd Conference on Neural Information Processing Systems},
  address   = {Montreal, Canada},
  year      = 2018
}
  

@incollection{lee_dn18,
  title     = {Deep neural networks as {G}aussian processes},
  author    = {J.\ Lee and Y.\ Bahri and R.\ Novak and S.S. Schoenholz and J.\ Pennington and J.\ Sohl-Dickstein},
  booktitle = {Proc.\ ICLR, Int.\ Conference on Learning Representations},
  year      = 2018
}


@article{lee_as18,
  author        = {K.\ Lee and K.\ Lee and H.\ Lee and J.\ Shin},
  title         = {A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks},
  journal       = {CoRR},
  volume        = {abs/1807.03888.v2},
  year          = {2018},
  url           = {http://arxiv.org/abs/1807.03888},
  archiveprefix = {arXiv}
}

@article{mobi_dc19,
  author        = {A.\ Mobiny and H.V.\ Nguyen and S.\ Moulik and N.\ Garg and C.C.\ Wu},
  title         = {Drop{C}onnect is effective in modeling uncertainty of {B}ayesian networks},
  journal       = {CoRR},
  volume        = {abs/1906.04569},
  year          = {2017},
  url           = {http://arxiv.org/abs/1906.04569},
  archiveprefix = {arXiv}
}



@article{guo_ai19,
  author        = {M.\ Guo and Q.\ Zhang and  X.\ Liao and Y.\ Chen},
  title         = {An interpretable machine learning framework for modelling human decision behavior},
  journal       = {CoRR},
  volume        = {abs/1906.01233},
  year          = {2019},
  url           = {http://arxiv.org/abs/1906.01233},
  archiveprefix = {arXiv}
}


@article{chev_ph08,
  title   = {Preference Handling in Combinatorial Domains: {F}rom {AI} to Social Choice},
  author  = {Y.~Chevaleyre and U.~Endriss and J.~Lang and N.~Maudet},
  journal = {AI Magazine},
  volume  = 29,
  number  = 4,
  year    = 2008
}


@inproceedings{bacc_gm95,
  author    = {F.~Bacchus and A.~Grove},
  title     = {Graphical models for preference and utility},
  booktitle = {Proc.\ 11th Annual Conference on Uncertainty in Artificial Intelligence},
  pages     = {3--10},
  address   = {San Francisco},
  year      = 1995
}

@article{braf_ph09,
  title   = {Preference handling--an introductory tutorial},
  journal = {AI Magazine},
  author  = {R.I.~Brafman and C.~Domshlak},
  volume  = {March},
  year    = 2009
}

@article{mpub131,
  author  = {E.~H\"ullermeier and J.~F\"urnkranz and W.~Cheng and K.~Brinker },
  title   = {
             by Learning Pairwise Preferences},
  journal = {Artificial Intelligence},
  pages   = {1897--1917},
  volume  = 172,
  year    = 2008
}

@article{alon_rt00,
  author  = {N.~Alon},
  title   = {Ranking Tournaments},
  yournal = {SIAM Journal on Discrete Mathematics},
  volume  = 20,
  number  = 1,
  pages   = {137--142}
}
   
@inproceedings{kole_oe11,
  title     = {On extension of fuzzy measures to aggregation functions},
  author    = {A. Kolesarova and A. Stupnanova and J. Beganova},
  booktitle = {Proceedings Eusflat--2011, 7th International Conference of the European Society for Fuzzy Logic and Technology},
  editor    = {S.~Galichet and J.~Montero and G.~Mauris},
  address   = {Aix-les-Bains, France},
  year      = 2011
}

@article{pedr_dd00,
  author  = {W.~Pedrycz and Z.A.~Sosnowski},
  title   = {Designing decision trees with the use of fuzzy granulation},
  journal = {IEEE Transactions on Systems, Man and Cybernetics, Part A},
  volume  = 30,
  number  = 2,
  pages   = {151--159},
  year    = 2000
}


@inproceedings{mpub385,
  author    = {V.L.\ Nguyen and S.\ Destercke and M.H.\ Masson and E.\ H{\"{u}}llermeier},
  title     = {Reliable Multi-class Classification based on Pairwise Epistemic and
               Aleatoric Uncertainty},
  booktitle = {Proceedings {IJCAI} 2018, 27th International Joint Conference on
               Artificial Intelligence},
  address   = {Stockholm, Sweden},
  pages     = {5089--5095},
  year      = {2018}
}
  
@article{pedr_td01,
  author  = {W.~Pedrycz and Z.A.~Sosnowski},
  title   = {The design of decision trees in the framework of granular data and their application to software quality models},
  journal = {Fuzzy Sets and Systems},
  volume  = 123,
  number  = 3,
  pages   = {271--290},
  year    = 2001
}

@article{pedr_cf05,
  author  = {W.~Pedrycz and Z.A.~Sosnowski},
  title   = {C-fuzzy decision trees},
  journal = {IEEE Transactions on Systems, Man, and Cybernetics, Part C},
  volume  = 35,
  number  = 4,
  pages   = {498--511},
  year    = 2005
}


@incollection{stah_ao04,
  author    = {Armin Stahl},
  title     = {Approximation of Utility Functions by Learning Similarity Measures},
  booktitle = {Logic versus Approximation},
  editor    = {Wolfgang Lenski},
  series    = {LNCS},
  number    = 3075,
  publisher = {Springer-Verlag},
  year      = 2004
}

@inproceedings{berg_uo01,
  author    = {R.~Bergmann and MM.~Richter and S.~Schmitt and A.~Stahl and I.~Vollrath},
  title     = {Utility-Oriented Matching: A New Research Direction for Case-Based Reasoning},
  booktitle = {Proc.\ 9th German Workshop on Case-Based Reasoning},
  address   = {Baden-Baden},
  year      = 2001
}


@inproceedings{mpub173,
  author    = {W.~Cheng and E.~H\"ullermeier},
  title     = {Learning Similarity Functions from Qualitative Feedback},
  booktitle = {Proceedings ECCBR--2008, 9th European Conference on Case-Based Reasoning},
  editor    = {R.~Bergmann and K.D.~Althoff},
  address   = {Trier, Germany},
  pages     = {120--134},
  year      = 2008
}

@article{mcsh_bu04,
  author  = {D.~McSherry},
  title   = {Balancing User Satisfaction and Cognitive Load in Coverage-Optimised Retrieval},
  journal = {Knowledge-Based Systems},
  volume  = 17,
  year    = 2004,
  pages   = {113--119}
}

@book{aize_to,
  author    = {M.~Aizerman and F.~Aleskerov},
  title     = {Theory of Choice},
  publisher = {North-Holland},
  address   = {Amsterdam},
  year      = 1995
}

@inproceedings{cohen98learning,
  author    = {William W.\ Cohen and Robert E.\ Schapire and Yoram Singer},
  title     = {Learning to Order Things},
  booktitle = {Advances in Neural Information Processing Systems},
  year      = {1998},
  editor    = {Michael I.\ Jordan and Michael J.\ Kearns and Sara A.\ Solla},
  publisher = {The {MIT} Press},
  url       = {citeseer.ist.psu.edu/cohen98learning.html}
}


@article{doyle04,
  author  = {J.~Doyle},
  title   = {Prospects for preferences},
  journal = {Computational Intelligence},
  year    = {2004},
  volume  = {20},
  number  = {2},
  pages   = {111--136}
}


@article{doyl_pf,
  author    = {J.~Doyle},
  title     = {pecial Issue on Preferences in {AI} and {CP}},
  booktitle = {Computational Intelligence},
  year      = {2004},
  volume    = {20},
  number    = {2}
}


@inproceedings{kotl_rl09,
  author    = {W.~Kotlowski and R.~Slowinski},
  title     = {Rule learning with monotonicity constraints},
  booktitle = {Proc.\ ICML--2009, Internation Conference on Machine Learning},
  address   = {Montreal, Canada},
  pages     = {68--75},
  year      = 2009
}




@article{gold_ph,
  title  = {Special Issue on Preference Handling for {A}rtificial {I}ntelligence},
  author = {J.~Goldsmith and U.~Junker},
  volume = 29,
  number = 4,
  year   = 2008
}

@inproceedings{aiol_sl08,
  title     = {Supervised Learning as Preference Optimization: A General Framework and its Applications},
  author    = {F.~Aiolli and A.~Sperduti},
  booktitle = {Proceedings PL--08, Workshop on Preference Learning at ECML/PKDD, European Conference on
               Machine Learning and Knowledge Discovery in Databases},
  editor    = {E.~H\"ullermeier and J.~F\"urnkranz},
  address   = {Antwerp, Belgium},
  year      = 2008
}



@book{burk_ap,
  title     = {Assignment Problems},
  author    = {R.E.\ Burkard and M.\ Dell'Amico and S.\ Martello},
  publisher = {SIAM},
  year      = 2009
}

@article{kuhn_th55,
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% ttq 881499


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}


@incollection{frey_fh,
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  pages     = {99-119}
}

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}

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}

@article{frey_rm,
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  year    = 1984,
  pages   = {126-132}
}


@article{frey_pt,
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  year    = 1987
}



@techreport{frie_qp,
  title       = {Qualitative Planning under Assumptions: A Preliminary Report},
  author      = {N.~Friedman and D.~Koller},
  institution = {Stanford University},
  year        = 1994
}



@article{frie_sv,
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  year    = 1990
}



@techreport{froo_am,
  author      = {R.~Froom},
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  year        = 1994
}

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  year    = 1992
}


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}



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}

@inproceedings{gao_iq,
  author    = {Y.~Gao and H.F.~Durrant-Whyte},
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  booktitle = {Working Papers QR'94},
  year      = 1994
}


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}



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  year      = 1988
}


@inproceedings{gebh_ap,
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  year      = 1992
}


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  year    = 1993
}


@incollection{gels_fc,
  author    = {A.~Gelsey},
  title     = {From {CAD/CAM} to simulation: {A}utomating Model Generation for Mechanical Devices},
  booktitle = {Knowledge-Based Simulation},
  editor    = {P.A.~Fishwick and R.B.~Modjeski},
  publisher = {Springer-Verlag},
  pages     = {108-132},
  year      = 1991
}



@article{gere_ea,
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}


@inproceedings{geye_fr,
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}


@article{gick_ap,
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  year    = 1990
}


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  year    = 1995
}

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  pages   = {401-415},
  year    = 1982
}



@article{giso_aa,
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}

@incollection{glas_rb,
  author    = {W.R.~Glaser},
  title     = {Repr"asentation bei Mensch und Maschine},
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  publisher = {Hans Huber Verlag},
  year      = 1993
}


@article{glas_ci,
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  year    = 1992
}

@article{godt_vc,
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  pages   = {211-221}
}


@book{goer_ei,
  author    = {G.~G"orz},
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  publisher = {Addison-Wesley},
  year      = 1993
}


@article{gott_qi,
  author  = {H.W.~Gottinger},
  title   = {Qualitative Information and Comaprative Informativeness},
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  pages   = {81-94},
  year    = 1973
}


@book{gott_eo,
  author    = {H.W.~Gottinger},
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  publisher = {de~Gruyter},
  year      = 1980
}



@book{gott_fs,
  author    = {S.~Gottwald},
  title     = {Fuzzy Sets and Fuzzy Logic},
  publisher = {Vieweg},
  year      = 1993
}


@article{shap_av53,
  author    = {L.S.\ Shapley},
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}

@book{grab_fo,
  author    = {M.~Grabisch and H.T.~Nguyen and E.A.~Walker},
  title     = {Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference},
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  year      = 1995
}

@article{grae_hm,
  author  = {T.J.~Graettinger and B.H.~Krogh},
  title   = {Hyperplane Methods for Reachable State Estimation for Linear Time-Invariant Systems},
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  number  = 3,
  year    = 1991,
  pages   = {555-588}
}


@inproceedings{gros_as,
  author    = {W.~Grossmann and H.~Werthner},
  title     = {A Stochastic Approach to Qualitative Reasoning},
  booktitle = {IJCAI~93},
  year      = 1993
}


@incollection{gros_pm,
  author    = {W.~Grossmann and H.~Werthner},
  title     = {Probabilistic Models in Qualitative Simulation},
  booktitle = {Computer Aided Systems Theory},
  editor    = {F.~Pichler and R.~Diaz},
  pages     = {331-346},
  publisher = {Springer-Verlag},
  year      = 1994,
  sig       = {TTQ 931406}
}


@incollection{grub_ao,
  author    = {P.M.~Gruber},
  title     = {Approximation of Convex Bodies},
  booktitle = {Convexity and its Applications},
  editor    = {P.M.~Gruber and J.M.~Wills},
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  year      = 1983
}




@article{guar_io,
  title   = {Identification of Model Structure via Qualitative Simulation},
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  number  = 5,
  year    = 1992,
  pages   = {1075-1086}
}



@book{guen_ai,
  editor    = {O.~G"unther and H.J.~Schek},
  title     = {Andances in Spatial Databases},
  publisher = {Springer-Verlag},
  year      = 1991
}

@article{guer_af,
  author  = {H.B.~Guerocak and A.~de~Sam~Lazaro},
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  pages   = {147-161},
  year    = 1994
}


@techreport{gues_af,
  author      = {H.W.~Guesgen},
  title       = {A Formal Framework for Weak Constraint Satisfaction Based on Fuzzy Sets},
  institution = {ICSI Berkeley},
  year        = 1994,
  number      = {TR-94-026},
  month       = {June}
}


@book{gues_ap,
  author    = {H.W.~Guesgen and J.~Hertzberg},
  title     = {A Perspective of Constraint-Based Reasoning},
  publisher = {Springer-Verlag},
  year      = 1992
}


@techreport{gues_sr,
  author      = {H.W.~Guesgen},
  title       = {Spatial Reasoning Based on {A}llens's Temporal Logic},
  institution = {ICSI Berkeley},
  year        = 1989,
  number      = {TR-89-049},
  month       = {August}
}



@article{guha_ca,
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  year    = 1990
}




@article{gupt_fp,
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  volume  = 54,
  pages   = {191-206}
}


@article{gupt_to,
  author  = {M.M.~Gupta and J.~Qi},
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  year    = 1991,
  pages   = {431-450}
}


@book{gupt_fa,
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  year      = 1977
}

@article{gupt_ot,
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}


@article{govi_qa,
  author  = {T.~Govindaraj},
  title   = {Qualitative Approximation Methodology for Modeling and Simulation of Large Dynamic Systems:
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  year    = 1987,
  pages   = {937-955}
}


@inproceedings{habe_rr,
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  year      = 1987,
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}


@phdthesis{haec_rs,
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  month  = {December}
}


@book{haem_nm,
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  title     = {Numerische Mathematik},
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  year      = 1989
}



@incollection{habe_wu,
  author    = {C.~Habel and M.~Herweg and S.~Pribbenow},
  title     = {Wissen \"uber {R}aum und {Z}eit},
  booktitle = {Einf\"uhrung in die k\"unstliche Intelligenz},
  editor    = {G.~G\"orz},
  year      = 1993,
  publisher = {Addison Wesley},
  pages     = {139-204}
}




@inproceedings{hajo_do,
  author    = {T.~Hajo and T.~Terano and S.~Masui},
  title     = {Design of Quasi-Optimal Fuzzy Controller by Fuzzy Dynamic Programming},
  booktitle = {IEEE International Conference on Fuzzy Systems},
  pages     = {1253-1258},
  year      = 1993
}

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  year    = 1990,
  volume  = 33,
  pages   = {356-361}
}


@article{hali_aa,
  author  = {H.~Halim and K.M.~Ho and A.~Liu},
  title   = {An Alternative Approach in Approximate Reasoning using Fuzzy Production Rules in Expert Systems},
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  number  = 3,
  pages   = {485-502},
  year    = 1991
}


@inproceedings{kend_wu17,
  author    = {A.\ Kendall and Y.\ Gal},
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  pages     = {5574--5584},
  year      = 2017
}

@inproceedings{zhu_da17,
  author    = {L.\ Zhu and N.\ Laptev},
  title     = {Deep and confident prediction for time series at {U}ber},
  booktitle = {IEEE International Conference on Data Mining Workshops (ICDMW)},
  pages     = {103--110},
  year      = 2017
}




@inproceedings{han_cm,
  author    = {K.~Han and A.~Gelsey},
  title     = {Compositional Modeling for Complex Spatial Reasoning Tasks},
  booktitle = {QR'94},
  pages     = {124-135},
  year      = 1994
}

@article{hang_qs,
  author  = {K.M.~Hangos and Z.~Csaki},
  title   = {Qualitative Simulation in the Limit},
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  pages   = {105-109},
  year    = 1992
}




@article{hank_ma,
  author  = {S.~Hanks and D.~McDermott},
  title   = {Modeling a dynamic and uncertain world I: Symbolic and probabilistic reasoning about change},
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  volume  = {66},
  year    = 1984
}


@inproceedings{haro_gc,
  author    = {D.~Haroud and B.~Faltings},
  title     = {Global Consistency for Continuous Constraints},
  booktitle = {Proceedings Second International Workshop on Principles and Practice of Constraint Programming},
  editor    = {A.~Borning},
  month     = {May},
  year      = 1994,
  pages     = {40-50}
}

@techreport{haro_cc,
  author      = {D.~Haroud and B.~Faltings},
  title       = {Constraint Consistency Techniques for Continuous Domains},
  institution = {Department d'Informatique, Ecole Polytechnique Federale de Lausanne},
  year        = 1995
}

@article{haro_ct,
  title   = {Consistency Techniques for Continuous Constraints},
  author  = {D.~Haroud  and B.~Faltings},
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  volume  = 1,
  year    = 1996
}




@techreport{hart_ta,
  author      = {G.~Hartmann and R.~Wehner},
  title       = {The ant's path integration system: a neural architecture},
  institution = {Heinz Nixdorf Institut, Universit\"at-GH Paderborn},
  year        = 1995
}



@incollection{hays_od,
  author    = {E.M.~Hays},
  title     = {On Defining Motion Verbs and Spatial Prepositions},
  booktitle = {Repr"asentation und Verarbeitung r"aumlichen Wissens},
  publisher = {Springer-Verlag},
  year      = 1990
}


@article{haye_sm,
  author  = {P.~Hayes},
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  number  = 2,
  pages   = {257-258},
  year    = 1992
}

@incollection{haye_np,
  author    = {P.J.~Hayes},
  title     = {Naive Physics {I}: Ontology for Liquits},
  pages     = {251-269},
  booktitle = {Readings in Cognitive Science},
  editor    = {A.~Collins and E.E.~Smith},
  publisher = {Morgan Kaufmann},
  year      = 1988
}


@incollection{haye_tn,
  author    = {P.J.~Hayes},
  title     = {The Naive Physics Manifesto},
  booktitle = {Expert Systems in the Microelectronic Age},
  editor    = {D.~Michie},
  publisher = {Edinburgh University Press},
  pages     = {242-270},
  year      = 1979
}

@incollection{haye_ts,
  author    = {P.J.~Hayes},
  title     = {The Second naive Physics Manifesto},
  booktitle = {Formal Theories of the Commonsense World},
  editor    = {J.R.~Hobbs and R.C.~Moore},
  publisher = {Ablex},
  address   = {Norwood, NJ},
  pages     = {1-36},
  year      = 1985
}



@article{hayw_sl,
  author  = {W.G.~Hayward and M.J.~Tarr},
  title   = {Spatial Language and Spatial Representation},
  journal = {Cognition},
  volume  = {55},
  pages   = {39-84},
  year    = 1995
}



@article{hayw_ec,
  author  = {V.~Hayward and S.~Aubry and A.~Foisy and Y.~Ghallab},
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  journal = {International Journal of Robotics Research},
  volume  = 14,
  number  = 2,
  year    = 1995,
  pages   = {129-143}
}


@article{hega_mm,
  author   = {M.~Hegaraty and M.A.~Just and I.R.~Morrison},
  title    = {Mental Models of Mechanical Systems: Individual Differences in Qualitative and
              Quantitative Reasoning},
  journal  ={cp},
  volume   = 20,
  year     = 1988,
  pages    = {191-236},
  abstract = {The mental models of an mechanical systems, in this case a pulley system,
              for different individuals is investigated. 2 experimants demonstrate, that different
              reasoning strategies are used and different attributes of the problem description are taken
              into account. "High-level" individuals use qualitative as well as quantitative
              information, whereas "low-level" prefer only qualitative information. A simulation of
              this two konds of individuals, using a production rule system, is presented, which
              explains the behaviour well.}
}


@inproceedings{mali_lf14,
  author    = {Y.\ Malitsky and B.\ O'Sullivan},
  title     = {Latent features for algorithm selection},
  booktitle = {Seventh Annual Symposium on Combinatorial Search},
  year      = 2014
}

@article{misi_aa17,
  author  = {M.\ Misir and M.\ Sebag},
  title   = {Alors: {A}n algorithm recommender system},
  journal = {Artificial Intelligence},
  volume  = 244,
  pages   = {291--314},
  year    = 2017
}

@inproceedings{cunh_cm18,
  author    = {T.\ Cunha and C.\ Soares and A.C.\ de Carvalho},
  title     = {Cf4cf-meta: {H}ybrid collaborative filtering algorithm selection framework},
  booktitle = {Int.\ Conf.\ on Discovery Science},
  pages     = {114--128},
  publisher = {Springer},
  year      = 2018
}

@inproceedings{sun_aa18,
  author    = {L.\ Sun-Hosoya and I.\ Guyon and. M.\ Sebag},
  title     = {Activmetal: {A}lgorithm recommendation with active meta learning},
  booktitle = {Proceedings of the ECMLPKDD 2018 Workshop on Interactive Adaptive Learning},
  pages     = {48--59},
  year      = 2018
}

 
@article{yang_oc18,
  author        = {C.\ Yang and Y.\ Akimoto and D.W.\ Kim and M.\ Udell},
  title         = {Oboe: {C}ollaborative filtering for {Auto-ML} initialization},
  journal       = {CoRR},
  volume        = {abs/1808.03233},
  year          = {2018},
  url           = {http://arxiv.org/abs/1808.03233},
  archiveprefix = {arXiv}
}

@article{sadi_la19,
  title   = {Least Ambiguous Set-Valued Classifiers With Bounded Error Levels},
  author  = {M.\ Sadinle and J.\ Lei and L.\ Wasserman},
  journal = {Journal of the American Statistical Association},
  volume  = 114,
  number  = 525,
  pages   = {223--234},
  year    = 2019
}

@article{feng_sp19,
  author        = {J.\ Fengand A.\ Sondhi and J.\ Perry and N.\ Simon},
  title         = {Selective prediction-set models with coverage guarantees},
  journal       = {CoRR},
  volume        = {abs/1906.05473.v1},
  year          = {2019},
  url           = {http://arxiv.org/abs/1906.05473},
  archiveprefix = {arXiv}
}


@article{bisc_aa16,
  author  = {B.\ Bischl and P.\ Kerschke and L.\ Kotthoff and M.\ Lindauer and Y.\ Malitsky and A.\ Fr\'echette and A.\ Hoos and F.\ Hutter and K.\ Leyton-Brown and K.\ Tierney},
  year    = 2016,
  title   = {Aslib: {A} benchmark library for algorithm selection},
  journal = {Artificial Intelligence},
  volume  = 237,
  pages   = {41--58}
}


@book{hern_qr,
  author    = {D.~Hernandez},
  title     = {Qualitative Representation of Spatial Knowledge},
  publisher = {Springer-Verlag},
  year      = 1994
}


@inproceedings{hern_mq,
  author    = {D.~Hernandez},
  title     = {Maintaining Qualitative Spatial Knowledge},
  pages     = {36-53},
  booktitle = {Spatial Information Theory},
  publisher = {Springer-Verlag},
  editor    = {A.U.~Frank and I.~Campari},
  year      = 1993
}

@article{herr_bp,
  author  = {F.~Herrera and J.L.~Verdegay},
  title   = {Boolean Programming Problems with Fuzzy Constraints},
  journal = {fsas},
  volume  = {55},
  year    = 1993
}


@incollection{herr_mr,
  author    = {T.~Herrmann},
  title     = {Mentale Repr"asentationen - ein erl"auterungsw"urdiger Begriff},
  pages     = {17-30},
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}


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@book{holl_i,
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@techreport{huel_ns,
  author      = {E.~H\"ullermeier},
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@phdthesis{huel_ra,
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  year      = 1995
}

@inproceedings{huel_tm,
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}

@incollection{huel_fp,
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%journal={Systems Analysis Modelling Simulation},
%volume={18-19},


@inproceedings{huel_af,
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}
{kraf_ka,
author={M.~Kraft and E.~H\"ullermeier and P.~Weise},
title={Konjunkturzyklen aufgrund von Investitionsinterdependenzen:
Simulation und empirische "\{U}berpr\"ufung},
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publisher={Metropolis},
editor={J.~Flemmig},
pages={413-454},
year=1995}

@inproceedings{huel_ap,
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@inproceedings{huel_hc,
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@book{klir_fs,
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@article{klir_ot,
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}



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  year    = 1992
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@book{samu_fo,
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@incollection{smit_eu,
  author    = {R.~Smith and M.~Self and P.~Cheeseman},
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}


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}



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}



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              some experiments. These show, that in many cases it is very likely that abstract rules
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              instance models, case based models, connectionism.
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              and their use in solving problems is investigated. At the end, some relationships
              between the methods of reasoning is mentioned.}
}




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}


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  year    = 1988
}



@incollection{stru_po,
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  year   = 1989
}



@incollection{stru_qm,
  author    = {P.~Struss},
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}


@inproceedings{stru_qr,
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@incollection{stru_qu,
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  editor    = {G.~G\"orz},
  publisher = {Addison-Wesley},
  pages     = {86-138},
  year      = 1993
}


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  year      = 1988
}


@mastersthesis{suer_wm,
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  year   = 1994
}


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}


@article{sudk_ic,
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@article{suga_li,
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  pages     = {331-344}
}



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  year    = 1991
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@incollection{tana_af,
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  pages     = {546-554},
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@incollection{terg_pg,
  author    = {S.~Tergan},
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  year      = 1993
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@incollection{terg_pg2,
  author    = {S.~Tergan},
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  pages     = {117-126},
  editor    = {J.~Engelkamp and T.~Pechmann},
  booktitle = {Mentale Repr"asentationen},
  publisher = {Hans Huber Verlag},
  year      = 1993
}



@book{thom_ss,
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}


@inproceedings{thor_an,
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}


@article{titt_eo,
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@incollection{tong_sp,
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}


@incollection{trab_la,
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}


@article{turk_aa,
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  volume  = {34},
  year    = 1990
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@inproceedings{tver_cm,
  author    = {B.~Tversky},
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@article{usha_tc,
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@article{uchi_fr,
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  year    = 1993
}



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% tzu 2043



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@article{vanb_ea,
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@article{vanb_ot,
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  year    = 1992
}


@article{veli_di,
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}



@article{verf_rm,
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}



@inproceedings{vesc_fd,
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  year      = 1992
}


@inproceedings{vesc_ni,
  author    = {M.~Vescovi and A.~Faqhuhar and Y.~Iwasaki},
  title     = {Numerical Interval Simulation: Combined Qualitative and
               Quantitative Simulation to Bound Behaviours of
               Non-Monotonic Systems},
  booktitle = {9th International Workshop on Qualitative Reasoning},
  year      = 1995,
  month     = {May},
  pages     = {181-191}
}





@article{vita_ao,
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  journal = {Journal of Approximation Theory},
  volume  = 26,
  pages   = {301-316},
  year    = 1979
}

@article{vita_lm,
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  journal = {Journal of Approximation Theory},
  volume  = 45,
  pages   = {280-287},
  year    = 1985
}



@article{vrba_fa,
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  volume  = 8,
  number  = 2,
  year    = 1991,
  pages   = {115-137}
}


@article{vrba_if,
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  number  = 4,
  year    = 1993,
  pages   = {321-335}
}


@book{walt_da,
  author    = {W.~Walter},
  title     = {Differential and  Integral Inequalities},
  publisher = {Springer-Verlag},
  year      = 1970
}



@article{walt_ti,
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  title   = {There is an Elementary Proof of Peano's Existence Theorem},
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  volume  = 78,
  year    = 1971,
  pages   = {170-173}
}




@incollection{walt_ul,
  author    = {D.~Waltz},
  title     = {Understanding line drawings of scenes with shadows},
  booktitle = {The Psychology of Computer Vision},
  editor    = {P.~Winston},
  year      = 1975
}



@article{wang_sv,
  author  = {P.~Wang and X.~Liu and E.~Sanchez},
  title   = {Set-Valued Statistics and its Application to Earthquake Engineering},
  journal = {fsas},
  volume  = 18,
  pages   = {347-256},
  year    = 1986
}



inproceedings{warr_av,
author={C.W.~Warren},
title={A Vector Based Approach to Robot Motion Planning},
booktitle={IEEE International Conference on Robotics and Automation},
pages={1021-1026},
year=1991}

@article{weis_of,
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  title   = {On Fuzzy Implication Relations},
  journal = {fsas},
  volume  = 67,
  year    = 1994,
  pages   = {211-219}
}



@book{widm_ai,
  editor    = {L.E.~Widmann and K.A.~Lopardo and N.R.~Nielsen },
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  publisher = {Wiley},
  year      = 1989
}




@article{wall_ta,
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  volume  = 10,
  number  = 3,
  pages   = {741-761},
  year    = 1982
}



@book{wall_sr,
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  publisher = {Chapman and Hall},
  year      = 1991
}




@article{wang_gf,
  author  = {L.X.~Wang and J.M.~Mendel},
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  volume  = 22,
  number  = 6,
  pages   = {1414-1427},
  year    = 1992
}


@article{dubo_pt06,
  author  = {D.\ Dubois},
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  volume  = 51,
  number  = 1,
  pages   = {47--69},
  year    = 2006
}


@article{wang_fb,
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  volume  = 3,
  number  = 5,
  year    = 1992,
  pages   = {807-814}
}


@article{alca_ka09,
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  title   = {{KEEL}: A Software Tool to Assess Evolutionary Algorithms to Data Mining Problems},
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  volume  = 13,
  number  = 3,
  pages   = {307--318},
  year    = {2009}
}

@inproceedings{wang_fs,
  author    = {L.X.~Wang},
  title     = {Fuzzy Systems are Universal Approximators},
  pages     = {1163-1170},
  booktitle = {IEEE International Conference on Fuzzy Systems},
  year      = 1992
}


@article{dubo_as97,
  author  = {D.\ Dubois and S.\ Moral and H.\ Prade},
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  volume  = 205,
  number  = 2,
  pages   = {359--380},
  year    = 1997
}

@article{webe_ag,
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  year    = 1983,
  volume  = 11,
  pages   = {115-134}
}

@article{hora_aa96,
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  volume  = 54,
  number  = {2--3},
  year    = 1996,
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}

@inproceedings{catt_ls05,
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  pages     = {107--116},
  year      = 2005
}

@article{wegm_si,
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  number  = 382,
  year    = 1983,
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  pages   = {315-365}
}


@incollection{wein_qv,
  author    = {J.B.~Weinberg and S.~Uckun and G.~Biswas and S.~Manganaris},
  title     = {Qualitative Vector Algebra},
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  editor    = {B.~Faltings and P.~Struss},
  year      = 1992,
  publisher = {MIT Press}
}


@book{weld_qr,
  title     = {Qualitative Reasoning about Physical Systems},
  editor    = {D.S.~Weld and J.~de Kleer},
  publisher = {Morgan Kaufmann},
  year      = 1990,
  sig       = {HK 620 R2 Q1R}
}


@article{weld_qp,
  author  = {D.S.~Weld},
  title   = {Qualitative Physics: Albatross or Eagle?},
  journal = {Computational Intelligence},
  volume  = 8,
  number  = 2,
  year    = 1992,
  pages   = {175-186}
}



@article{well_wq,
  author  = {M.R.~Wellmann},
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  volume  = 8,
  number  = 2,
  year    = 1992,
  pages   = {277-280}
}


@incollection{welz_se,
  author    = {E.~Welzl},
  title     = {Smallest Enclosing Disks (Balls and Ellipsoids)},
  booktitle = {New Results and New Trends in Computer Science},
  publisher = {Springer-Verlag},
  year      = 1991,
  pages     = {358-370}
}


@incollection{wens_fs,
  author    = {F.~Wenstop},
  title     = {Fuzzy Set Simulation models in a Systems Dynamics Perspective},
  pages     = {582-591},
  booktitle = {Readings in Fuzzy Sets for Intelligent Systems},
  editor    = {D.~Dubois and H.~Prade and R.R.~Yager},
  publisher = {Morgan Kaufmann},
  year      = 1994
}


@book{wert_qr,
  author    = {H.~Werthner},
  title     = {Qualitative Reasoning: Modelling and the Generation of Behaviour},
  publisher = {Springer-Verlag},
  year      = 1994
}

@mastersthesis{wies_lk,
  author = {J.~Wiese},
  title  = {{L}okale {K}onvexe {H}\"ullen - {D}atenstrukturen, {A}lgorithmen und {I}mplementation},
  school = {Universit\"at Paderborn, Fachbereich Mathematik-Informatik},
  year   = 1996
}


@incollection{will_tu,
  author    = {D.~Willaeys and N.~Malvache},
  title     = {The Use of Fuzzy Sets for the Treatment of Fuzzy Information by Computer},
  pages     = {314-316},
  booktitle = {Fuzzy Sets for Intelligent Systems},
  editor    = {D.~Dubois and H.~Prade and R.R.~Yager},
  publisher = {Morgan Kaufmann},
  year      = 1993
}


@article{will_at,
  author  = {B.C.~Williams},
  title   = {A Theory of Interactions: Unifying Qualitative and Quantitative Algebraic Reasoning},
  journal = {ai},
  volume  = {51},
  year    = 1991,
  pages   = {39-94}
}

@article{will_qr,
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  title   = {Qualitative Reasoning about Physical Systems: A Return to Roots},
  journal = {ai},
  volume  = {51},
  year    = 1991,
  pages   = {1-9}
}


@inproceedings{will_ma,
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  title     = {MINIMA: A Symbolic Approach to Qualitative Algebraic Reasoning},
  booktitle = {Proceedings AAAI-88},
  year      = 1988,
  pages     = {264-269}
}


@incollection{will_hr,
  author    = {M.D.~Williams and J.D.~Hollan and A.L.~Stevens},
  title     = {Human Reasoning about Simple Physical Systems},
  pages     = {131-154},
  booktitle = {Mental Models},
  publisher = {Lawrence Erlbaum},
  editor    = {D.~Gentner and A.L.~Stevens},
  year      = 1983
}


@article{will_nv,
  author  = {B.C.~Williams and M.~Shirley and O.~R{aim}an and B.~Falkenhainer
             and J.~De~Kleer and D.~Bonrow},
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  number  = 2,
  pages   = {210-215},
  year    = 1992
}



@article{wole_te,
  author  = {P.R.~Wolenski},
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  number  = 5,
  pages   = {1148-1161},
  year    = 1990
}

@article{wole_au,
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  year    = 1990
}



@article{xie_as,
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  year    = 1992
}




@article{xuec_ed,
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  year    = 1992
}


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}


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  year    = 1984
}



@incollection{yage_ot,
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  editor    = {D.~Dubois and H.~Prade and R.R.~Yager},
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  year      = 1994
}



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  volume   = 29,
  year     = 1988,
  pages    = {251-275},
  abstract = {It is investigated, if the knowledge and ability of reasoning concerning
              motion is based on a theory, which each individual generates for himself, or if a
              prototype-approach is appropriate. It is argued, that the theory approach generally
              is based on rules, whereas the prototype-appoach doesn't distinguish between
              theory and observation. Experminatal results showed the prototype approch in this case
              to be more likely, especially because individuals showed inconsistencies in their
              reasoning, which should not occur if a gerneral theory was responsible.}
}



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}


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}

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}



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}

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  editor    = {D.~Dubois and H.~Prade and R.R.~Yager},
  year      = 1994,
  publisher = {Morgan Kaufmann},
  pages     = {27-64}
}


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  number  = 1,
  year    = 1978
}


@article{zhao_tc,
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  pages   = {53-65},
  year    = 1992
}



@article{zeig_as,
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  year    = 1993
}


@article{zeig_kr,
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  year    = 1987,
  pages   = {87-107}
}



@article{zhen_qr,
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}

@book{zoma_ma,
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  year      = 1992
}


@article{zwic_mo,
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  volume  = {1}
}

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  number  = {2},
  pages   = {162-176},
  year    = 1994
}


@unpublished{zeng_at2,
  author = {X.J.~Zeng and M.H.~Singh},
  title  = {Approximation Theory of Fuzzy Systems},
  note   = {Preprint},
  year   = 1995
}

@article{zhan_fi,
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  year    = 1993,
  pages   = {63-67}
}




@article{zhon_of,
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  volume  = 37,
  year    = 1990,
  pages   = {77-92}
}


@article{zhu_ot,
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  year    = 1991
}



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}


@book{zimm_fs,
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  year      = 1984
}


@book{zimm_fs2,
  author    = {H.J.~Zimmermann},
  title     = {Fuzzy Set Theory - And its Applications},
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  year      = 1991
}


@article{zimm_qr,
  author  = {K.~Zimmermann and C.~Freksa},
  title   = {Qualitatives {R}\"aumliches {S}chliessen mit {W}issen \"uber {R}ichtungen, {E}ntfernungen und {P}fade},
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  year    = 1993,
  pages   = {21-28}
}


@inproceedings{zimm_eq,
  author    = {K.~Zimmermann},
  title     = {Enhancing Qualitative Spatial Reasoning - Combining Orientation
               and Distance},
  pages     = {69-76},
  booktitle = {Spatial Information Theory},
  publisher = {Springer-Verlag},
  editor    = {A.U.~Frank and I.~Campari},
  year      = 1993
}

@article{zumi_ia,
  author  = {J.D.~Zumic},
  title   = {Inner and Outer Convex Hull Approximation for Finite Planar Point Sets},
  journal = {Journal of Information Processing and Cybernetics},
  volume  = 27,
  number  = 2,
  pages   = {75-83},
  year    = 1991
}

@inproceedings{aha_cb97,
  author    = {D.W.~Aha and D.~Wettscherek},
  title     = {Case-Based Learning: Beyond Classification of Feature Vectors},
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  editor    = {M.~van Someren and G.~Widmer},
  publisher = {Springer-Verlag},
  year      = 1997,
  pages     = {329-336},
  class     = {cbr}
}

@book{aign_dm,
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  title     = {Diskrete Mathematik},
  publisher = {Vieweg},
  year      = 1993
}


@article{alon_lf09,
  title   = {Looking for a good fuzzy system interpretability index: An experimental approach},
  author  = {J.M.~Alonso and L.~Magdalena and G.\ Gonzalez-Rodriguez},
  journal = {International Journal of Approximate Reasoning},
  volume  = 51,
  number  = 1,
  pages   = {115--134},
  year    = 1009
}

@article{zhou_ll08,
  author  = {S.M.\ Zhou and J.Q.\ Gan},
  title   = {Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling},
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  volume  = 159,
  number  = 23,
  pages   = {3091--3131},
  year    = 2008
}

@book{aike_mr,
  author    = {L.S.~Aiken and S.G.~West},
  title     = {Multiple Regression: Testing and Interpreting Interactions},
  publisher = {SAGE Publications},
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  year      = 1991
}



@book{bamb_se,
  author    = {G.~Bamberg},
  title     = {Statistische Entscheidungstheorie},
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  year      = 1972
}

@book{bamb_be,
  author    = {G.~Bamberg and A.G.~Coenenberg},
  title     = {Betriebswirtschaftliche Entscheidungslehre},
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  year      = 1989
}


@book{bane_ai,
  author    = {R.B.~Banerji},
  title     = {Artificial Intelligence: {A} theoretical Approach},
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  year      = 1980,
  class     = {ai}
}


@book{bell_dt,
  editor    = {D.E.~Bell and H.~Raiffa and A.~Tversky},
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  year      = 1988
}


@incollection{benh_bm97,
  author    = {Y.~Ben-H{aim}},
  title     = {Beyond Maximum Entropy: Exploring the Structure of Uncertainty},
  booktitle = {Uncertainty: Models and Measures},
  editor    = {H.G.~Natke and Y.~Ben-H{aim}},
  publisher = {Akademier Verlag},
  year      = 1997,
  pages     = {11-26},
  class     = {stat},
  contents  = {darstellung verschiedener arten von unsicherheit, auch
               nichtprobabilistische, robustheit von hypothesen, goedel argument:
               nicht alle wahrscheinlichkeiten sind berechenbar}
}


@book{berg_sd,
  author    = {J.O.~Berger},
  title     = {Statistical Decision Theory and Bayesian Analysis},
  publisher = {Springer-Verlag},
  year      = 1985,
  edition   = {2.}
}



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}

@book{band_fd,
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}


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  year      = 1999
}


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@article{ferr_al10,
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@article{gonz_eo09,
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@inproceedings{prad_ml11,
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@book{tana_pd,
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}

@incollection{diam_fr98,
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}


@article{dubo_up99,
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  year    = 1999
}



@article{dubo_dt??,
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  note    = {To appear}
}


@techreport{dubo_cu98,
  author      = {D.~Dubois and H.~Fargier and H.~Prade},
  title       = {Choice under uncertainty with ordinal decision rules: {A} formal investigation},
  institution = {{\sc IRIT} -- Institut de Recherche en Informatique
                 de Toulouse, Universit{\'e} Paul Sabatier},
  number      = {98-03 R},
  year        = 1998
}



@article{dubo_wm86,
  author  = {D.~Dubois and H.~Prade},
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  year    = 1987
}




@inproceedings{dubo_at89,
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  pages     = {782-785},
  year      = 1989
}



@incollection{dubo_tp87,
  author    = {D.~Dubois and H.~Prade},
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  editor    = {B.~Bouchon and R.R.~Yager},
  series    = {Lecture Notes in Computer Science},
  number    = 286,
  publisher = {Springer-Verlag},
  address   = {Berlin},
  pages     = {75-84},
  year      = 1987
}


@incollection{benf_fs98,
  author    = {S.~Benferhat and D.~Dubois and H.~Prade},
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  publisher = {Physica-Verlag},
  address   = {Heidelberg},
  year      = 1998
}



@inproceedings{berg_ta98,
  author    = {R.~Bergmann and W.~Wilke},
  title     = {Towards a new Formal Model of Transformational
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  booktitle = {{\sc ECAI-98}, 13th European Conference on
               Artificial Intelligence},
  editor    = {H.~Prade},
  pages     = {53-57},
  year      = 1998
}


@inproceedings{bich_cb98,
  author    = {I.~Bichindaritz and E.~Kansu and K.M.~Sullivan},
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  pages     = {334-345},
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  publisher = {Springer-Verlag},
  year      = 1998
}



@inproceedings{bone_af96,
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  year      = 1996
}


@inproceedings{boni_fa97,
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  pages     = {37-44},
  address   = {Barcelona},
  year      = 1997
}


@book{bouc_aa,
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  year      = 1998
}


@inproceedings{bouc_ar93,
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  year      = 1993
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@inproceedings{bout_ta94,
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  year      = 1994
}

@inproceedings{braf_ot97,
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  year      = 1997
}

@inproceedings{braf_ot96,
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@inproceedings{bram_ts93,
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  year      = 1993
}

@inproceedings{bree_dt95,
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  year      = 1995
}

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  series    = {lnai},
  number    = 1488,
  address   = {Dublin, Ireland},
  year      = 1998
}

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@inproceedings{bunk_sm94,
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  number    = 837,
  publisher = {Springer-Verlag},
  year      = 1994
}



@incollection{burk_es98,
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  year      = 1998
}


@incollection{carb_lb83,
  author    = {J.G.~Carbonell},
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}


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@article{weka,
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@inproceedings{nasi_mp09,
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}


@article{como_ic98,
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  year      = 1991
}


@article{demp_ua68,
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@article{deno_rw99,
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@article{deno_ak95,
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@article{quos_pc07,
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@inproceedings{domi_ri95,
  author    = {P.~Domingos},
  title     = {Rule induction and instance-based learning: {A} unified approach},
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}


@article{domi_ui96,
  author  = {P.~Domingos},
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}




@incollection{dubo_bc98,
  author    = {D.~Dubois and S.~Moral and H.~Prade},
  title     = {Belief change rules in ordinal and numerical uncertainty
               theories},
  booktitle = {Handbook of Defeasible Reasoning and Uncertainty
               Management Systems, Vol.~3},
  editor    = {D.M.~Gabbay and Ph.~Smets},
  pages     = {311-392},
  year      = 1998
}


@inproceedings{dubo_au99,
  author    = {D.~Dubois and H.~Prade},
  title     = {A unified view of ranking techniques for fuzzy numbers},
  booktitle = {Proceedings {\sc FUZZ-IEEE-99}},
  address   = {Seoul},
  year      = 1999,
  note      = {To appear}
}



@incollection{dubo_pt98,
  author    = {D.~Dubois and H.~Prade},
  title     = {Possibility theory: Qualitative and quantitative aspects},
  booktitle = {Handbook of Defeasible Reasoning and Uncertainty
               Management Systems, Vol.~1},
  pages     = {169-226},
  editor    = {D.M.~Gabbay and P.~Smets},
  publisher = {Kluwer Academic Publishers},
  year      = 1998
}




@article{dubo_wf88,
  author  = {D.~Dubois and H.~Prade and C.~Testemale},
  title   = {Weighted fuzzy pattern matching},
  journal = {fsas},
  volume  = 28,
  pages   = {313-331},
  year    = 1988
}


@inproceedings{dubo_af97,
  author    = {D.~Dubois and H.~Prade},
  title     = {A fuzzy set approach to case-based decision},
  booktitle = {{\sc EFDAN-97}, 2nd European Workshop on Fuzzy
               Decision Analysis and Neural Networks for Management,
               Planning and Optimization},
  editor    = {R.~Felix},
  address   = {Dortmund, Germany},
  pages     = {1-9},
  year      = 1997
}

@techreport{dubo_ed97,
  author      = {D.~Dubois and M.~Nakata and H.~Prade},
  title       = {Extended divisions for flexible queries in relational
                 databases},
  institution = {{\sc IRIT} -- Institut de Recherche en Informatique
                 de Toulouse, Universit{\'e} Paul Sabatier},
  number      = {97-43~R},
  month       = {September},
  year        = 1997
}

@article{dubo_ot88,
  author  = {D.~Dubois and H.~Prade},
  title   = {On the combination of uncertain or imprecise pieces of information in rule-based systems - {A}
             discussion in the framework of possibility theory},
  journal = {ijoar},
  volume  = 2,
  number  = 1,
  pages   = {65-87},
  year    = 1988
}



@inproceedings{dubo_ns94,
  author    = {D.~Dubois and H.~Prade},
  title     = {Non-standard theories of uncertainty in knowledge
               representation and reasoning},
  booktitle = {Proceedings {\sc KR-94}, 4th International Conference
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}

@incollection{klir_mo94,
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}

@book{klir_fsb,
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@inproceedings{koll_sp98,
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               on Artificial Intelligence},
  address   = {Madison, Wisconsin},
  pages     = {1210-1212},
  year      = 1998,
  keywords  = {Bayesian networks, probability},
  summary   = {Describes the revolution in the attitude of the AI
               community towards probabilistic modeling, the important role
               of structured model-based representations of probabilistic models,
               and new challanges.}
}


@book{kolo_wo88,
  editor    = {J.L.~Kolodner},
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}



@inproceedings{lieb_ac95,
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}


@article{lope_cb97,
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@article{olea_va93,
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@inproceedings{kont_ba98,
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@incollection{lama_ai98,
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}


@book{koll_gm,
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@article{laur_lc88,
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}




@incollection{leak_ci96,
  author    = {D.B.~Leake},
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@incollection{plaz_ac90,
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@incollection{pohl_fr70,
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@incollection{rochio,
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@inproceedings{ricc_la95,
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@inproceedings{yang_ff99,
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@inproceedings{graa_if01,
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@inproceedings{gyen_im01,
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@inproceedings{srik_mg95,
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@inproceedings{klem_fi94,
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@article{DPU03,
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@book{Har81,
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@book{xia_la,
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@book{babu_fm,
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@inproceedings{srik_ma97,
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@inproceedings{proe_tc02,
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@book{vovk_al,
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@article{papa_ic08,
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@inproceedings{laks_sa17,
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@inproceedings{depe_du18,
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@inproceedings{denk_tn91,
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@article{dave_ca91,
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@incollection{lerm_vo02,
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@article{gola_ii03,
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@inproceedings{garo_qa02,
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@book{ange_ei,
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@book{ange_er,
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@article{ange_aa04,
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@article{chak_gm06,
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@inproceedings{das_aj03,
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Beschreibung 2er "stream processing systems: Aurora and Medusa":

@inproceedings{cher_sd03,
  author    = {M.~Cherniack and H.~Balakrishnan and M.~Balazinska and D.~Carney and
               U.~Cetintemel and Y.~Xing and S.~Zdonik},
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@article{domi_ag02,
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  volume  = 12,
  year    = 2003
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@inproceedings{gabe_ce04,
  author    = {MM.~Gaber and S.~Krishnaswamy and A.~Zaslavsky},
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  year      = {2004},
  pages     = {109--114},
  location  = {Dunedin, New Zealand},
  publisher = {Australian Computer Society, Inc.}
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@inproceedings{corm_wh03,
  author    = {G.~Cormode and S.~Muthukrishnan},
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  year      = {2003},
  pages     = {296--306},
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@incollection{gian_mf03,
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  booktitle = {Next Generation Data Mining},
  publisher = {AAAI/MIT},
  year      = 2003
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@inproceedings{papa_ah03,
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@article{cox_rm72,
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@inproceedings{consi_aa04,
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@inproceedings{fayy_mi93,
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@inproceedings{mich_tm86,
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@article{clar_tc89,
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@inproceedings{clar_sr91,
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@article{quin_ll90,
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@incollection{laer_rt01,
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@incollection{laer_ct01,
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@incollection{chen_oo03,
  author    = {G.~Chen and Q.~Wei and E.~Kerre and G.~Wets},
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  year      = 2003,
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@article{sudk_ec05,
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@incollection{stra_rh00,
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  booktitle = {ICPR--2000,
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@incollection{belt_tl81,
  author    = {E.~Beltrametti and G.~Cassinelli},
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@inproceedings{lugh_fa05,
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},

@inproceedings{beli_ff08,
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  volume    = {29},
  number    = {3},
  pages     = {345–374},
  month     = {Jan},
  issn      = {1469-8005},
  publisher = {Cambridge University Press (CUP)},
  url       = {http://dx.doi.org/10.1017/S026988891300043X}
}

@article{Tax2004,
  author   = {Tax, David M.J. and Duin, Robert P.W.},
  title    = {Support Vector Data Description},
  journal  = {Machine Learning},
  year     = {2004},
  volume   = {54},
  number   = {1},
  pages    = {45--66},
  month    = {Jan},
  issn     = {1573-0565},
  abstract = {Data domain description concerns the characterization of a data set. A good description covers all target data but includes no superfluous space. The boundary of a dataset can be used to detect novel data or outliers. We will present the Support Vector Data Description (SVDD) which is inspired by the Support Vector Classifier. It obtains a spherically shaped boundary around a dataset and analogous to the Support Vector Classifier it can be made flexible by using other kernel functions. The method is made robust against outliers in the training set and is capable of tightening the description by using negative examples. We show characteristics of the Support Vector Data Descriptions using artificial and real data.},
  day      = {01},
  doi      = {10.1023/B:MACH.0000008084.60811.49},
  url      = {https://doi.org/10.1023/B:MACH.0000008084.60811.49}
}


@article{zaffalon2002,
  title     = {The Naive Credal Classifier},
  author    = {Zaffalon, Marco},
  journal   = {Journal of Statistical Planning and Inference},
  volume    = {105},
  number    = {1},
  pages     = {5--21},
  year      = {2002},
  publisher = {Elsevier}
}

@inproceedings{antonucci2012,
  title     = {Active Learning by the Naive Credal Classifier},
  author    = {Antonucci, Alessandro and Corani, Giorgio and Gabaglio, Sandra},
  booktitle = {Proceedings of the Sixth European Workshop on Probabilistic Graphical Models (PGM)},
  pages     = {3--10},
  year      = {2012}
}

@article{kolm_ta65,
  author  = {A.N.\ Kolmogorov},
  title   = {Three approaches to the quantitative definition of information},
  journal = {Problems Inform.\ Trans.},
  volume  = 1,
  number  = 1,
  pages   = {1--7},
  year    = 1965
}

@inproceedings{pere_bc16,
  author    = {M.\ Perello-Nieto and T.M.\ Silva Filho and M.\ Kull and P.\ Flach},
  title     = {Background Check: {A} general technique to build more reliable and versatile classifiers},
  booktitle = {Proc.\ ICDM, International Conference on Data Mining},
  year      = 2016
}


@misc{ziyin2019deep,
  author        = {Liu Ziyin and Zhikang Wang and Paul Pu Liang and Ruslan Salakhutdinov and Louis-Philippe Morency and Masahito Ueda},
  title         = {Deep Gamblers: Learning to Abstain with Portfolio Theory},
  year          = {2019},
  archiveprefix = {arXiv},
  eprint        = {1907.00208},
  primaryclass  = {cs.LG}
}


@Comment{jabref-meta: databaseType:bibtex;}


@inproceedings{holdgraf_evidence_2014,
	address = {Brisbane, Australia, Australia},
	title = {Evidence for {Predictive} {Coding} in {Human} {Auditory} {Cortex}},
	booktitle = {International {Conference} on {Cognitive} {Neuroscience}},
	publisher = {Frontiers in Neuroscience},
	author = {Holdgraf, Christopher Ramsay and de Heer, Wendy and Pasley, Brian N. and Knight, Robert T.},
	year = {2014}
}

@article{holdgraf_rapid_2016,
	title = {Rapid tuning shifts in human auditory cortex enhance speech intelligibility},
	volume = {7},
	issn = {2041-1723},
	url = {http://www.nature.com/doifinder/10.1038/ncomms13654},
	doi = {10.1038/ncomms13654},
	number = {May},
	journal = {Nature Communications},
	author = {Holdgraf, Christopher Ramsay and de Heer, Wendy and Pasley, Brian N. and Rieger, Jochem W. and Crone, Nathan and Lin, Jack J. and Knight, Robert T. and Theunissen, Frédéric E.},
	year = {2016},
	pages = {13654},
}

@inproceedings{holdgraf_portable_2017,
	title = {Portable learning environments for hands-on computational instruction using container-and cloud-based technology to teach data science},
	volume = {Part F1287},
	isbn = {978-1-4503-5272-7},
	doi = {10.1145/3093338.3093370},
	abstract = {© 2017 ACM. There is an increasing interest in learning outside of the traditional classroom setting. This is especially true for topics covering computational tools and data science, as both are challenging to incorporate in the standard curriculum. These atypical learning environments offer new opportunities for teaching, particularly when it comes to combining conceptual knowledge with hands-on experience/expertise with methods and skills. Advances in cloud computing and containerized environments provide an attractive opportunity to improve the effciency and ease with which students can learn. This manuscript details recent advances towards using commonly-Available cloud computing services and advanced cyberinfrastructure support for improving the learning experience in bootcamp-style events. We cover the benets (and challenges) of using a server hosted remotely instead of relying on student laptops, discuss the technology that was used in order to make this possible, and give suggestions for how others could implement and improve upon this model for pedagogy and reproducibility.},
	booktitle = {{ACM} {International} {Conference} {Proceeding} {Series}},
	author = {Holdgraf, Christopher Ramsay and Culich, A. and Rokem, A. and Deniz, F. and Alegro, M. and Ushizima, D.},
	year = {2017},
	keywords = {Teaching, Bootcamps, Cloud computing, Data science, Docker, Pedagogy}
}

@article{holdgraf_encoding_2017,
	title = {Encoding and decoding models in cognitive electrophysiology},
	volume = {11},
	issn = {16625137},
	doi = {10.3389/fnsys.2017.00061},
	abstract = {© 2017 Holdgraf, Rieger, Micheli, Martin, Knight and Theunissen. Cognitive neuroscience has seen rapid growth in the size and complexity of data recorded from the human brain as well as in the computational tools available to analyze this data. This data explosion has resulted in an increased use of multivariate, model-based methods for asking neuroscience questions, allowing scientists to investigate multiple hypotheses with a single dataset, to use complex, time-varying stimuli, and to study the human brain under more naturalistic conditions. These tools come in the form of “Encoding” models, in which stimulus features are used to model brain activity, and “Decoding” models, in which neural features are used to generated a stimulus output. Here we review the current state of encoding and decoding models in cognitive electrophysiology and provide a practical guide toward conducting experiments and analyses in this emerging field. Our examples focus on using linear models in the study of human language and audition. We show how to calculate auditory receptive fields from natural sounds as well as how to decode neural recordings to predict speech. The paper {aim}s to be a useful tutorial to these approaches, and a practical introduction to using machine learning and applied statistics to build models of neural activity. The data analytic approaches we discuss may also be applied to other sensory modalities, motor systems, and cognitive systems, and we cover some examples in these areas. In addition, a collection of Jupyter notebooks is publicly available as a complement to the material covered in this paper, providing code examples and tutorials for predictive modeling in python. The {aim}is to provide a practical understanding of predictivemodeling of human brain data and to propose best-practices in conducting these analyses.},
	journal = {Frontiers in Systems Neuroscience},
	author = {Holdgraf, Christopher Ramsay and Rieger, J.W. and Micheli, C. and Martin, S. and Knight, R.T. and Theunissen, F.E.},
	year = {2017},
	keywords = {Decoding models, Encoding models, Electrocorticography (ECoG), Electrophysiology/evoked potentials, Machine learning applied to neuroscience, Natural stimuli, Predictive modeling, Tutorials}
}

@book{ruby,
  title     = {The Ruby Programming Language},
  author    = {Flanagan, David and Matsumoto, Yukihiro},
  year      = {2008},
  publisher = {O'Reilly Media}
}


@article{silva_classifier_2023,
  title={Classifier calibration: a survey on how to assess and improve predicted class probabilities},
  author={Silva Filho, Telmo and Song, Hao and Perello-Nieto, Miquel and Santos-Rodriguez, Raul and Kull, Meelis and Flach, Peter},
  journal={Machine Learning},
  volume={112},
  number={9},
  pages={3211--3260},
  year={2023},
  publisher={Springer}
}


@article{H_llermeier_2021,
   title={Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods},
   volume={110},
   ISSN={1573-0565},
   url={http://dx.doi.org/10.1007/s10994-021-05946-3},
   DOI={10.1007/s10994-021-05946-3},
   number={3},
   journal={Machine Learning},
   publisher={Springer Science and Business Media LLC},
   author={Hüllermeier, Eyke and Waegeman, Willem},
   year={2021},
   month=mar, pages={457–506}
}


@misc{zhang2022uncertaintyprincipleneuralnetworks,
      title={On the uncertainty principle of neural networks},
      author={Jun-Jie Zhang and Dong-Xiao Zhang and Jian-Nan Chen and Long-Gang Pang and Deyu Meng},
      year={2022},
      eprint={2205.01493},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2205.01493},
}

@inproceedings{Costa12,
  author       = {Filipe de Oliveira Costa and
                  Michael Eckmann and
                  Walter J. Scheirer and
                  Anderson Rocha},
  title        = {Open Set Source Camera Attribution},
  booktitle    = {25th {SIBGRAPI} Conference on Graphics, Patterns and Images, {SIBGRAPI}
                  2012, Ouro Preto, Brazil, August 22-25, 2012},
  pages        = {71--78},
  publisher    = {{IEEE} Computer Society},
  year         = {2012},
  url          = {https://doi.org/10.1109/SIBGRAPI.2012.19},
  doi          = {10.1109/SIBGRAPI.2012.19},
  timestamp    = {Mon, 11 Sep 2023 09:35:49 +0200},
  biburl       = {https://dblp.org/rec/conf/sibgrapi/CostaESR12.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}


@article{DBLP:journals/ml/MelnikovH18,
  author    = {Vitalik Melnikov and
               Eyke H{\"{u}}llermeier},
  title     = {On the effectiveness of heuristics for learning nested dichotomies:
               an empirical analysis},
  journal   = {Mach. Learn.},
  volume    = {107},
  number    = {8-10},
  pages     = {1537--1560},
  year      = {2018},
  url       = {https://doi.org/10.1007/s10994-018-5733-1},
  doi       = {10.1007/S10994-018-5733-1},
  timestamp = {Mon, 02 Mar 2020 16:28:49 +0100},
  biburl    = {https://dblp.org/rec/journals/ml/MelnikovH18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{pmlr-v204-cordier23a,
  title     = {Flexible and Systematic Uncertainty Estimation with
               Conformal Prediction via the MAPIE library},
  author    = {Cordier, Thibault and Blot, Vincent and Lacombe, Louis and Morzadec, Thomas and Capitaine, Arnaud and Brunel, Nicolas},
  booktitle = {Proceedings of the Twelfth Symposium on Conformal
               and Probabilistic Prediction with Applications},
  pages     = {549--581},
  year      = {2023},
  editor    = {Papadopoulos, Harris and Nguyen, Khuong An and Boström, Henrik and Carlsson, Lars},
  volume    = {204},
  series    = {Proceedings of Machine Learning Research},
  month     = {13--15 Sep},
  publisher = {PMLR},
  pdf       = {https://proceedings.mlr.press/v204/cordier23a/cordier23a.pdf},
  url       = {https://proceedings.mlr.press/v204/cordier23a.html},
  abstract  = {Conformal prediction (CP) is an attractive
               theoretical framework for estimating the
               uncertainties of any predictive algorithms as its
               methodology is general and systematic with few
               assumptions. CP methods can be abstracted into
               building blocks that can be deployed on any type of
               data, model, or task. In this work, we contribute to
               the wide diffusion of the CP framework by developing
               the library MAPIE1 that implements such principles
               and can address seamlessly different tasks
               (e.g. classification, regression, time-series) and
               in different settings (split and
               cross-conformal). All these concepts are under a
               common umbrella with an emphasis on readability,
               transparency, and reliability, hence supporting the
               principles of trustworthy AI. An original feature of
               MAPIE is to offer the possibility of designing
               tailored-made non-conformity scores in particular
               p-normalized residual non-conformal scores that can
               be defined to account for asymmetric errors. We show
               theoretically the marginal coverage guarantee in
               several settings. We highlight through applications
               the interest of choosing different non-conformity
               scores for tabular data when considering local
               coverage.}
}

@article{merkle_choosing_2013,
   title={Choosing a strictly proper scoring rule},
   author={Merkle, Edgar C and Steyvers, Mark},
   journal={Decision Analysis},
   volume={10},
   number={4},
   pages={292--304},
   year={2013},
   publisher={INFORMS}
}

@article{ayer_empirical_1955,
  title     = {An empirical distribution function for sampling with incomplete information},
  author    = {Ayer, Miriam and Brunk, H Daniel and Ewing, George M and Reid, William T and Silverman, Edward},
  journal   = {The annals of mathematical statistics},
  pages     = {641--647},
  year      = {1955},
  publisher = {JSTOR}
}

@inproceedings{zadrozny_learning_2001,
  title     = {Learning and making decisions when costs and probabilities are both unknown},
  author    = {Zadrozny, Bianca and Elkan, Charles},
  booktitle = {Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages     = {204--213},
  year      = {2001}
}

@article{brier_verification_1950,
  title     = {Verification of forecasts expressed in terms of probability},
  author    = {Brier, Glenn W},
  journal   = {Monthly weather review},
  volume    = {78},
  number    = {1},
  pages     = {1--3},
  year      = {1950},
  publisher = {American Meteorological Society}
}

@article{vovk_self_2003,
  title   = {Self-calibrating probability forecasting},
  author  = {Vovk, Vladimir and Shafer, Glenn and Nouretdinov, Ilia},
  journal = {Advances in neural information processing systems},
  volume  = {16},
  year    = {2003}
}

@inproceedings{saunders_transduction_1999,
  author    = {Craig Saunders and
               Alex Gammerman and
               Volodya Vovk},
  editor    = {Thomas Dean},
  title     = {Transduction with Confidence and Credibility},
  booktitle = {Proceedings of the Sixteenth International Joint Conference on Artificial
               Intelligence, {IJCAI} 99, Stockholm, Sweden, July 31 - August 6, 1999.
               2 Volumes, 1450 pages},
  pages     = {722--726},
  publisher = {Morgan Kaufmann},
  year      = {1999},
  url       = {http://ijcai.org/Proceedings/99-2/Papers/010.pdf},
  timestamp = {Mon, 07 Aug 2023 13:29:46 +0200},
  biburl    = {https://dblp.org/rec/conf/ijcai/SaundersGV99.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{nahm_receiver_2022,
  title     = {Receiver operating characteristic curve: overview and practical use for clinicians},
  author    = {Nahm, Francis Sahngun},
  journal   = {Korean journal of anesthesiology},
  volume    = {75},
  number    = {1},
  pages     = {25},
  year      = {2022},
  publisher = {Korean Society of Anesthesiologists}
}

@inproceedings{guo_calibration_2017,
  title        = {On calibration of modern neural networks},
  author       = {Guo, Chuan and Pleiss, Geoff and Sun, Yu and Weinberger, Kilian Q},
  booktitle    = {International conference on machine learning},
  pages        = {1321--1330},
  year         = {2017},
  organization = {PMLR}
}

@inproceedings{naeini_obtaining_2015,
  title     = {Obtaining well calibrated probabilities using bayesian binning},
  author    = {Naeini, Mahdi Pakdaman and Cooper, Gregory and Hauskrecht, Milos},
  booktitle = {Proceedings of the AAAI conference on artificial intelligence},
  volume    = {29},
  number    = {1},
  year      = {2015}
}

@article{vovk_venn_2012,
  title   = {Venn-abers predictors},
  author  = {Vovk, Vladimir and Petej, Ivan},
  journal = {arXiv preprint arXiv:1211.0025},
  year    = {2012}
} 

@article{lakshminarayanan_simple_2017,
  title={Simple and scalable predictive uncertainty estimation using deep ensembles},
  author={Lakshminarayanan, Balaji and Pritzel, Alexander and Blundell, Charles},
  journal={Advances in neural information processing systems},
  volume={30},
  year={2017}
}

@article{DBLP:journals/ml/HullermeierW21,
  author       = {Eyke H{\"{u}}llermeier and
                  Willem Waegeman},
  title        = {Aleatoric and epistemic uncertainty in machine learning: an introduction
                  to concepts and methods},
  journal      = {Mach. Learn.},
  volume       = {110},
  number       = {3},
  pages        = {457--506},
  year         = {2021},
  url          = {https://doi.org/10.1007/s10994-021-05946-3},
  doi          = {10.1007/S10994-021-05946-3},
}

@book{Goodfellow-et-al-2016,
  Title                    = {Deep Learning},
  Author                   = {Ian J. Goodfellow and Yoshua Bengio and Aaron Courville},
  Publisher                = {MIT Press},
  Year                     = {2016},

  Address                  = {Cambridge, MA, USA},
  Note                     = {\url{http://www.deeplearningbook.org}}
}

@article{zhang2023dive,
  added-at = {2021-06-30T00:00:00.000+0200},
  author = {Zhang, Aston and Lipton, Zachary C. and Li, Mu and Smola, Alexander J.},
  biburl = {https://www.bibsonomy.org/bibtex/28cc8ac76638148320629c9b4f227ea2b/dblp},
  ee = {https://arxiv.org/abs/2106.11342},
  interhash = {4c31a4430ad42d349fde77e238d5c27a},
  intrahash = {8cc8ac76638148320629c9b4f227ea2b},
  journal = {CoRR},
  keywords = {dblp},
  timestamp = {2024-04-09T00:04:43.000+0200},
  title = {Dive into Deep Learning.},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr2106.html#abs-2106-11342},
  volume = {abs/2106.11342},
  year = 2021
}

@book{johnson2022bayes,
  title={Bayes Rules!: An Introduction to Applied Bayesian Modeling},
  author={Johnson, A.A. and Ott, M.Q. and Dogucu, M.},
  isbn={9781032191591},
  lccn={2021037969},
  series={Chapman \& Hall/CRC texts in statistical science},
  url={https://books.google.de/books?id=pISQzgEACAAJ},
  year={2022},
  publisher={CRC Press}
}

@book{robert_monte_2004,
  added-at = {2020-07-15T00:37:54.000+0200},
  author = {Robert, C.P. and Casella, G.},
  biburl = {https://www.bibsonomy.org/bibtex/2c45ba78e01455a35b301daddc182caed/twagener},
  interhash = {faaab58e84fb4966b7d2118bc839c076},
  intrahash = {c45ba78e01455a35b301daddc182caed},
  keywords = {},
  publisher = {Springer Verlag},
  timestamp = {2020-07-15T00:37:54.000+0200},
  title = {Monte {Carlo} statistical methods},
  year = 2004
}

@article{Jospin_2022,
  author={Jospin, Laurent Valentin and Laga, Hamid and Boussaid, Farid and Buntine, Wray and Bennamoun, Mohammed},
  journal={IEEE Computational Intelligence Magazine}, 
  title={Hands-On Bayesian Neural Networks—A Tutorial for Deep Learning Users}, 
  year={2022},
  volume={17},
  number={2},
  pages={29-48},
  keywords={Deep learning;Training data;Uncertainty;Design methodology;Computational modeling;Stochastic processes;Bayes methods;Neural networks;Tutorials},
  doi={10.1109/MCI.2022.3155327}
}

@article{Breiman1996,
  added-at = {2011-05-12T20:52:32.000+0200},
  author = {Breiman, Leo},
  biburl = {https://www.bibsonomy.org/bibtex/2d7f2fcb651038d60087aa9d4a046eef8/smolav},
  interhash = {96b419212a439d785711b0d79e00332d},
  intrahash = {d7f2fcb651038d60087aa9d4a046eef8},
  journal = {Machine Learning},
  keywords = {bagging ensemble in-thesis machine-learning projn2011},
  number = 2,
  pages = {123-140},
  timestamp = {2011-07-28T23:34:55.000+0200},
  title = {Bagging Predictors},
  volume = 24,
  year = 1996
}


@book{neal1996,
author = {Neal, Radford M.},
title = {Bayesian Learning for Neural Networks},
year = {1996},
isbn = {0387947248},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
abstract = {From the Publisher:Artificial "neural networks" are now widely used as flexible models for regression classification applications, but questions remain regarding what these models mean, and how they can safely be used when training data is limited. Bayesian Learning for Neural Networks shows that Bayesian methods allow complex neural network models to be used without fear of the "overfitting" that can occur with traditional neural network learning methods. Insight into the nature of these complex Bayesian models is provided by a theoretical investigation of the priors over functions that underlie them. Use of these models in practice is made possible using Markov chain Monte Carlo techniques. Both the theoretical and computational aspects of this work are of wider statistical interest, as they contribute to a better understanding of how Bayesian methods can be applied to complex problems. Presupposing only the basic knowledge of probability and statistics, this book should be of interest to many researchers in statistics, engineering, and artificial intelligence. Software for Unix systems that implements the methods described is freely available over the Internet.}
}