Concept Learning

This talk is based on

  1. Introduction
  2. Learning Task
    1. Inductive Learning Hypothesis
  3. Concept Learning as Search
    1. Ordering of Hypotheses
    2. Ordering Space
  4. Find-S Algorithm
    1. Find-S Example*****
    2. Find-S Problems
  5. Version Spaces
    1. List-Then-Eliminate Algorithm
    2. Example of Representing Version Spaces
    3. Version Space Representation
    4. Candidate Elimination Algorithm
    5. Candidate-Elimination Example****
    6. Candidate-Elimination Summary
    7. Partial Classification Example*
  6. Inductive Bias
    1. Unbiased Learner
    2. Futility of Bias-Free Learning
  7. Summary
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