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The Nature of Statistical Learning Theory - Vladimir Vapnik
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ISBN: 9781441931603

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The Nature of Statistical Learning Theory 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 statistical learning theory, and the author of seven books published in English, Russian, German, and Chinese. Bücher / Fremdsprachige Bücher / Englische Bücher 978-1-4419-3160-3, Springer

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2010, ISBN: 1441931600

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[EAN: 9781441931603], Neubuch, [PU: Springer-Verlag New York Inc., United States], 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. 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. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists. Softcover reprint of hardcover 2nd ed. 2000.

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[EAN: 9781441931603], Neubuch, Softcover Book, New Condition, Fast Shipping. Ready in Stock. 1st Edition. [Please Read Carefully Before Buying], This Is An International Edition. Printed In Black and White. 333 pages, Book Cover And ISBN No May Be Different From US Edition. Restricted Sales Disclaimer Wordings Not For Sales In USA And Canada May Be Printed On The Cover Of The Book. Standard Shipping 7-14 Business Days. Expedited Shiping 4-8 Business Days. ***WE DO NOT ENTERTAIN BULK ORDERS.*** The Books May Be Ship From Overseas For Inventory Purpose, [PU: Springer]

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Vapnik, Vladimir: The Nature of Statistical Learning Theory
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2000, ISBN: 9781441931603

ID: 147278760

Information Science and Statistics. Softcover reprint of hardcover 2nd ed. 2000. Information Science and Statistics. Softcover reprint of hardcover 2nd ed. 2000. Bücher > English, International > Gebundene Ausgaben, [PU: Springer]

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The Nature of Statistical Learning Theory (Information Science and Statistics) - Vapnik, Vladimir
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ISBN: 1441931600

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The Nature of Statistical Learning Theory

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. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.

Detailangaben zum Buch - The Nature of Statistical Learning Theory


EAN (ISBN-13): 9781441931603
ISBN (ISBN-10): 1441931600
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer-Verlag GmbH
336 Seiten
Gewicht: 0,509 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 16.07.2010 15:06:08
Buch zuletzt gefunden am 05.11.2017 23:54:20
ISBN/EAN: 9781441931603

ISBN - alternative Schreibweisen:
1-4419-3160-0, 978-1-4419-3160-3


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