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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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.
Read Less
Add this copy of An Introduction to Computational Learning Theory to cart. $30.29, new condition, Sold by Book Outlet rated 5.0 out of 5 stars, ships from Jefferson City, TN, UNITED STATES, published 1994 by MIT Press.
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New in new dust jacket. New, Publisher overstock, may have small remainder mark. Excellent condition, never read, purchased from publisher as excess inventory.
Add this copy of An Introduction to Computational Learning Theory (the to cart. $130.55, new condition, Sold by GridFreed rated 5.0 out of 5 stars, ships from North Las Vegas, NV, UNITED STATES, published 1994 by The MIT Press.
Add this copy of An Introduction to Computational Learning Theory to cart. $159.51, new condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 1994 by The MIT Press.
Add this copy of An Introduction to Computational Learning Theory to cart. $166.13, new condition, Sold by Just one more Chapter rated 3.0 out of 5 stars, ships from Miramar, FL, UNITED STATES, published 1994 by The MIT Press.
