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The Nature of Statistical Learning Theory (Information Science and Statistics)
Vladimir Vapnik
€ 278.64
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Description for The Nature of Statistical Learning Theory (Information Science and Statistics)
Hardcover. Discusses the fundamental ideas which lie behind the statistical theory of learning and generalization. This book considers learning as a general problem of function estimation based on empirical data. It concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. Series: Information Science and Statistics. Num Pages: 314 pages, biography. BIC Classification: PBT; UYAM; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 243 x 163 x 27. Weight in Grams: 658.
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer
Format
Hardback
Publication date
1999
Series
Information Science and Statistics
Condition
New
Number of Pages
314
Place of Publication
New York, NY, United States
ISBN
9780387987804
SKU
V9780387987804
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for The Nature of Statistical Learning Theory (Information Science and Statistics)
From the reviews of the second edition: ZENTRALBLATT MATH "...written in a concise style. It must be recommended to scientists of statistics, mathematics, physics, and computer science." SHORT BOOK REVIEWS "This interesting book helps a reader to understand the interconnections between various streams in the empirical modeling realm and may be recommended ... Read more