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Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics.

An Introduction to Computational Learning Theory

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Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics.

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Auteur(s): Kearns, Michael J.Vazirani, Umesh

Editeur: MIT Press

Année de Publication: 1994

pages: 221

Langue: Anglais

ISBN: 978-0-262-11193-5

eISBN: 978-0-262-27686-3

Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics.

Voir toute la description...

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