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. $92.99, fair condition, Sold by Goodwill rated 4.0 out of 5 stars, ships from Brooklyn Park, MN, UNITED STATES, published 1994 by MIT Press.
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Fair. Corners are bent. Stains on outside cover/inside the book. There are tears on paperback. Spine is twisted/bowed. Cover/Case has some rubbing and edgewear. Access codes, CD's, slipcovers and other accessories may not be included.
Add this copy of An Introduction to Computational Learning Theory to cart. $117.84, 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.
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