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Nature Statistical Learning Theory by Vapnik Vladimir (24 results)
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THE NATURE OF STATISTICAL LEARNING THEORY
Seller: Second Story Books, ABAA, Rockville, MD, U.S.A.
Seller rating 4 out of 5 stars
Softcover. Second Edition. Octavo, 314 pages. In Good plus condition. Yellow spine with white and brown text. Covers have bumping and light tearing to tail edge of spine, creasing to tail edge of spine, and mild edge wear. Textblock clean. Shelved ND-E. 1376745. FP New Rockville Stock.
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Condition: New.
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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.04.
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THE NATURE OF STATISTICAL LEARNING THEORY
Published by Springer-Verlag New York Inc., 2000
ISBN 10: 0387945598 ISBN 13: 9780387945590
Language: English
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.
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US$ 127.10
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Add to basketCondition: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. 1. Auflage. Aus der Auflösung einer renommierten Bibliothek. Kann Stempel beinhalten. | Seiten: 203 | Sprache: Englisch | Produktart: Bücher.
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The Nature of Statistical Learning Theory (Information Science and Statistics)
Published by Springer (edition 2nd), 1999
ISBN 10: 0387987800 ISBN 13: 9780387987804
Language: English
Hardcover. Condition: Good. 2nd. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Condition: LikeNew. Book is in pristine condition, will not show signs of use. Used books may not contain supplements such as access codes, CDs, etc. Every item ships the same or next business day with tracking number emailed to you.
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Condition: New.
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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The Nature of Statistical Learning Theory
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
US$ 246.07
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Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Nature of Statistical Learning Theory
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 246.06
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US$ 260.24
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Condition: As New. Unread book in perfect condition.
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The Nature of Statistical Learning Theory (Information Science and Statistics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 263.01
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Add to basketCondition: New. In English.
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The Nature of Statistical Learning Theory (Information Science and Statistics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 263.01
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US$ 221.57
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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.
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Nature of Statistical Learning Theory
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 272.58
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Condition: New.
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The Nature of Statistical Learning Theory
Published by Springer New York, Springer US, 2010
ISBN 10: 1441931600 ISBN 13: 9781441931603
Language: English
US$ 280.43
Convert currencyUS$ 34.65 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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US$ 354.85
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Add to basketPaperback. Condition: Like New. Like New. book.
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US$ 241.09
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.
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The Nature of Statistical Learning Theory
Published by Springer New York Dez 2010, 2010
ISBN 10: 1441931600 ISBN 13: 9781441931603
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 274.96
Convert currencyUS$ 26.08 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 336 pp. Englisch.
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US$ 362.11
Convert currencyUS$ 13.35 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Brand New. 2nd sub edition. 214 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand.
