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. $47.17, very good condition, Sold by spellbound rated 5.0 out of 5 stars, ships from McKeesport, PA, UNITED STATES, published 1994 by The MIT Press.
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Very Good. Size: 7x0x9; Very Good Condition-May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting.
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