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REVIEW6.md

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At a glance... | Syllabus | Models | Code | Lecturer

Review6: Dr. Dam's Talk

  • What are predictive models?
  • What are rule based models?
  • Define: 1) Supervised learning; 2) Features; 3) Dependent Varaibles.
  • In the following figure, label features and dependent variables:

image

  • In a few lines, differentiate regression and classification.
  • What is risk exposure? Give a mathematical expression to calculate it.
  • Sort the steps taken in predicting delays, as proposed by Dr. Hoa:
    • Extract Features, and select the ones that contribute to risk of delay.
    • Characterize the issues that constitute delays.
    • Train classifiers.
  • In the following figure label A and B:

1

  • Define networked data
  • Briefly describe task networks
  • Define: 1) Explicit relationship, 2) Implicit relationship (give an example), 3) Resourse based relationship, 4) Attribute based relationship, 5) Content based relationship.

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