Concept Learning
This talk is based on
Tom M. Mitchell.
Machine Learning.
McGraw Hill. 1997. Chapter 2.
and his
slides
.
Introduction
Learning Task
Inductive Learning Hypothesis
Concept Learning as Search
Ordering of Hypotheses
Ordering Space
Find-S Algorithm
Find-S Example
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Find-S Problems
Version Spaces
List-Then-Eliminate Algorithm
Example of Representing Version Spaces
Version Space Representation
Candidate Elimination Algorithm
Candidate-Elimination Example
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Candidate-Elimination Summary
Partial Classification Example
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Inductive Bias
Unbiased Learner
Futility of Bias-Free Learning
Summary
All in one page
Index on left
Copyright © 2003
José M. Vidal
.
All rights reserved.
01 April 2003, 11:20AM