Concept Learning

This talk is based on

• Tom M. Mitchell. Machine Learning. McGraw Hill. 1997. Chapter 2.
• and his slides.

1. 1 Introduction
2. 2 Learning Task
   1. 2.1 Inductive Learning Hypothesis
3. 3 Concept Learning as Search
   1. 3.1 Ordering of Hypotheses
   2. 3.2 Ordering Space
4. 4 Find-S Algorithm
   1. 4.1 Find-S Example*****
   2. 4.2 Find-S Problems
5. 5 Version Spaces
   1. 5.1 List-Then-Eliminate Algorithm
   2. 5.2 Example of Representing Version Spaces
   3. 5.3 Version Space Representation
   4. 5.4 Candidate Elimination Algorithm
   5. 5.5 Candidate-Elimination Example****
   6. 5.6 Candidate-Elimination Summary
   7. 5.7 Partial Classification Example*
6. 6 Inductive Bias
   1. 6.1 Unbiased Learner
   2. 6.2 Futility of Bias-Free Learning
7. 7 Summary

Entire Presentation with Notes

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Copyright © 2009 José M. Vidal . All rights reserved.

21 January 2003, 10:52AM