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Michael J. Kearns, Umesh Vazirani

Published by The MIT Press (1994)

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: The MIT Press, 1994. Hardcover. Book Condition: Good. Item may show signs of shelf wear. Pages may include limited notes and highlighting. Includes supplemental or companion materials if applicable. Access codes may or may not work. Connecting readers since 1972. Customer service is our top priority. Bookseller Inventory # mon0001135289

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Kearns, Michael J., Vazirani, Umesh

Published by The MIT Press

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: The MIT Press. Book Condition: Like New. Book appears unread. Book is square, clean, and umarked, with crisp pages All orders guaranteed and ship within 24 hours. Before placing your order for please contact us for confirmation on the book's binding. Check out our other listings to add to your order for discounted shipping. Bookseller Inventory # BOS-I-7e-00492

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Umesh V. Vazirani; Michael J. Kearns

Published by MIT Press

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: MIT Press. Hardcover. Book Condition: Good. Dust Cover Missing. Book has some visible wear on the binding, cover, pages. Bookseller Inventory # G0262111934I3N01

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Umesh V. Vazirani; Michael J. Kearns

Published by MIT Press

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: MIT Press. Hardcover. Book Condition: Fair. Dust Cover Missing. Bookseller Inventory # G0262111934I5N01

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Umesh V. Vazirani and Michael J. Kearns

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: Book Condition: Like New. Book Condition: Like New. Bookseller Inventory # 97802621119352.0

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Michael J. Kearns; Umesh Vazirani

Published by The MIT Press (1994)

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: The MIT Press, 1994. Hardcover. Book Condition: Used: Good. Bookseller Inventory # SONG0262111934

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Kearns, Michael J., Vazirani, Umesh

Published by The MIT Press (1994)

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: The MIT Press, 1994. Hardcover. Book Condition: Very Good. Great condition with minimal wear, aging, or shelf wear. Bookseller Inventory # P020262111934

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Michael J. Kearns, Umesh V. Vazirani

Published by MIT Press Ltd, United States (1994)

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: MIT Press Ltd, United States, 1994. Hardback. Book Condition: New. New.. Language: English . Brand New Book. 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.Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning.Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs.The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam s Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation. Bookseller Inventory # AAC9780262111935

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Michael J. Kearns, Umesh V. Vazirani

Published by MIT Press Ltd, United States (1994)

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: MIT Press Ltd, United States, 1994. Hardback. Book Condition: New. New.. Language: English . Brand New Book. 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.Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning.Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs.The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam s Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation. Bookseller Inventory # AAC9780262111935

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Kearns, Michael J., Vazirani, Umesh

Published by The MIT Press (1994)

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: The MIT Press, 1994. Hardcover. Book Condition: Like New. Almost new condition. Bookseller Inventory # P010262111934

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Michael J. Kearns; Umesh Vazirani

Published by The MIT Press (1994)

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: The MIT Press, 1994. Hardcover. Book Condition: New. book. Bookseller Inventory # M0262111934

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Michael J. Kearns, Umesh V. Vazirani

Published by MIT Press Ltd, United States (1994)

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: MIT Press Ltd, United States, 1994. Hardback. Book Condition: New. New.. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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.Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning.Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs.The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam s Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation. Bookseller Inventory # BTE9780262111935

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Michael J. Kearns, Umesh V. Vazirani

Published by The MIT Press (1994)

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: The MIT Press, 1994. Book Condition: Good. Ships from the UK. Former Library book. Shows some signs of wear, and may have some markings on the inside. Bookseller Inventory # GRP62960510

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Michael J. Kearns, Umesh V. Vazirani

Published by The MIT Press (1994)

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: The MIT Press, 1994. Book Condition: Very Good. Ships from the UK. Former Library book. Great condition for a used book! Minimal wear. Bookseller Inventory # GRP61137466

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Kearns, Michael J., Vazirani, Umesh

Published by The MIT Press (1994)

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: The MIT Press, 1994. Hardcover. Book Condition: New. Never used!. Bookseller Inventory # P110262111934

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Kearns, Michael J., Vazirani, Umesh

Published by The MIT Press (1994)

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: The MIT Press, 1994. Book Condition: new. Shiny and new! Expect delivery in 2-3 weeks. Bookseller Inventory # 9780262111935-1

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Michael J. Kearns, Umesh Vazirani

Published by The MIT Press (1994)

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: The MIT Press, 1994. Hardcover. Book Condition: New. Bookseller Inventory # DADAX0262111934

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Kearns, Michael J.; Vazirani, Umesh

Published by The MIT Press

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: The MIT Press. Hardcover. Book Condition: New. 0262111934 Special order direct from the distributor. Bookseller Inventory # ING9780262111935

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Kearns, Michael J./ Vazirani, Umesh V.

Published by Mit Pr (1994)

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: Mit Pr, 1994. Hardcover. Book Condition: Brand New. 221 pages. 9.50x7.25x0.75 inches. In Stock. Bookseller Inventory # x-0262111934

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Kearns, Michael J.; Vazirani, Umesh

Published by The MIT Press

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: The MIT Press. Hardcover. Book Condition: New. 0262111934 New Condition. Bookseller Inventory # NEW6.0110505

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Kearns, Michael J.; Vazirani, Umesh

Published by The MIT Press

ISBN 10: 0262111934 ISBN 13: 9780262111935

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Item Description: The MIT Press. Hardcover. Book Condition: Fine. 0262111934 Like New Condition. Bookseller Inventory # LN6.0110505

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Results (1 - 21) of 21