Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.1.
US$ 42.79
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Add to basketSoft cover. Condition: New. ISBN:9788126528929.
US$ 70.60
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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.
US$ 109.45
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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.
Published by Springer (edition 2nd), 1999
ISBN 10: 0387987800 ISBN 13: 9780387987804
Language: English
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: Good. 2nd. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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.
Seller: BennettBooksLtd, San Diego, NV, U.S.A.
hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
US$ 213.36
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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.
Condition: New.
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
US$ 249.91
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Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
US$ 242.08
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Add to basketCondition: New. In.
US$ 253.39
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Add to basketCondition: As New. Unread book in perfect condition.
US$ 242.06
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Add to basketCondition: New.
US$ 255.54
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Add to basketCondition: New.
Published by John Wiley & Sons Inc, New York, 1998
ISBN 10: 0471030031 ISBN 13: 9780471030034
Language: English
Seller: Grand Eagle Retail, Mason, OH, 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.
US$ 246.53
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Add to basketCondition: New.
Condition: New.
US$ 261.58
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Add to basketCondition: New.
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
US$ 260.24
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Add to basketCondition: New.
US$ 255.09
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Add to basketCondition: New.
US$ 257.96
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Add to basketCondition: As New. Unread book in perfect condition.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 264.93
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Add to basketCondition: New. In English.
Condition: As New. Unread book in perfect condition.
US$ 229.44
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Add to basketCondition: New. The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. Written in readable and concise style and devoted to key learning problems, the book is intended for statisticians, mathematicia.
Published by John Wiley & Sons Inc, New York, 1998
ISBN 10: 0471030031 ISBN 13: 9780471030034
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
First Edition
US$ 254.64
Convert currencyQuantity: 1 available
Add to basketHardcover. 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.