Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Soft cover. Condition: New. ISBN:9788126528929.
£ 50.96
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Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1100grams, ISBN:9788126528929.
Condition: Acceptable. The book is 100% readable but visibly worn, and damaged. This may include stains, tears, rips, folded pages, binding damage, dents, scuffs, scratches and sticker residue. The book also may contain heavy highlighting and notes. Please ask for photos as our books are donations and may not contain above mentioned defects. There is a signature or handwriting on the inside front cover.
Published by Springer-Verlag New York Inc., 2000
ISBN 10: 0387945598 ISBN 13: 9780387945590
Language: English
Seller: Ammareal, Morangis, France
Hardcover. Condition: Bon. Ancien livre de bibliothèque avec équipements. Edition 2000. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2000. Ammareal gives back up to 15% of this item's net price to charity organizations.
£ 79
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Add to basketHardcover. Condition: Like New. Like New. book.
Published by Springer (edition 2nd), 1999
ISBN 10: 0387987800 ISBN 13: 9780387987804
Language: English
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: Fair. 2nd. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
Seller: HPB-Red, Dallas, TX, U.S.A.
hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Seller: Solr Books, Lincolnwood, IL, U.S.A.
Condition: very_good. This books is in Very good condition. There may be a few flaws like shelf wear and some light wear.
Published by Wiley & Sons, Incorporated, John, 1998
ISBN 10: 0471030031 ISBN 13: 9780471030034
Language: English
Seller: Better World Books Ltd, Dunfermline, United Kingdom
£ 140.09
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Add to basketCondition: Good. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
Seller: BennettBooksLtd, San Diego, NV, U.S.A.
hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
£ 154
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Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 159.38
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Add to basketCondition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
£ 180.38
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Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
£ 174.73
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Add to basketCondition: New. In.
Condition: New.
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
£ 174.72
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Add to basketCondition: New.
Condition: New.
Published by John Wiley & Sons Inc, New York, 1998
ISBN 10: 0471030031 ISBN 13: 9780471030034
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
First Edition
Hardcover. Condition: new. Hardcover. A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more. This book is devoted to the statistical theory of learning and generalization, that is, the problem of choosing the desired function on the basis of empirical data. The author will present the whole picture of learning and generalization theory. Learning theory has applications in many fields, such as psychology, education and computer science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 176.92
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Add to basketCondition: As New. Unread book in perfect condition.
£ 180.20
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 184.13
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Add to basketCondition: New. In English.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 184.13
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Condition: New.
Condition: New.
Published by Springer-Verlag New York Inc., New York, NY, 2010
ISBN 10: 1441931600 ISBN 13: 9781441931603
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. These include: * the setting of learning problems based on the model of minimizing the risk functional from empirical data * a comprehensive analysis of the empirical risk minimization principle including necessary and sufficient conditions for its consistency * non-asymptotic bounds for the risk achieved using the empirical risk minimization principle * principles for controlling the generalization ability of learning machines using small sample sizes based on these bounds * the Support Vector methods that control the generalization ability when estimating function using small sample size. The second edition of the book contains three new chapters devoted to further development of the learning theory and SVM techniques. These include: * the theory of direct method of learning based on solving multidimensional integral equations for density, conditional probability, and conditional density estimation * a new inductive principle of learning. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists. Vladimir N. Vapnik is Technology Leader AT&T Labs-Research and Professor of London University. He is one of the founders of The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New.