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Concept Learning
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415.706FC Datamining and Machine
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Summary cont.
Concept Learning
Concept Learning
Concept Learning Example
Hypothesis Representation
Notation
Our Example
The Inductive Hypothesis
Concept Learning as Search
Size of Search Space
General-to-Specific Ordering
Hypothesis Search Space
Hypothesis Partial Ordering
Maximally Specific Hypothesis
Find-S Algorithm
Questions Remain
Version Spaces
List-then-Eliminate Algorithm
Compact Rep. for Version Spaces
General and Specific Boundaries
Candidate Elimination Algorithm
Training Examples 1 & 2
Training Example 3
Training Example 4
Another Version Spaces Example
Version Spaces with Disjuncts
Properties of Candidate-Elim. Algo.
Requesting Training Examples
Partially Learned Concepts
Classifying with Partially Learned Concepts
Inductive Bias
A Unbiased Learner
Futility of Bias-Free Learning
Inductive Bias
Inductive Biases of Algorithms
Summary
Patricia Riddle
Fri May 15 13:00:36 NZST 1998