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Title: An Introduction to Computational Learning Theory by Michael J. Kearns, Umesh V. Vazirani ISBN: 0-262-11193-4 Publisher: MIT Press Pub. Date: 15 August, 1994 Format: Hardcover Volumes: 1 List Price(USD): $45.00

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Average Customer Rating: 5 (1 review)

Rating: 5
Summary: This is interesting stuff
Comment: Kearns is an impressive researcher, precise and succinct. The material on this book follows a tradition of careful proofs of fundamental issues in learning. I wouldn't think this is material of practical use; for that kind of material I'd recommend the new edition of Duda. Rather, Kearns is one of a team of researchers pushing the frontier of proving what is learnable and what is not, why some representations are good for learning and which are not, the dimensionality of the target problem (related to overfitting) working with prinpled definitions of what it is meant to learn borrowed from computational complexity theory.

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