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Vladimir Vapnik - The Nature Of Statistical Learning Theor - 9781441931603 - V9781441931603
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The Nature Of Statistical Learning Theor

€ 263.57
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Description for The Nature Of Statistical Learning Theor paperback. Series: Information Science and Statistics. Num Pages: 314 pages, biography. BIC Classification: PBT; UYAM; UYQM. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 516.
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

Format
Paperback
Publication date
2010
Publisher
Springer-Verlag New York Inc. United States
Number of pages
314
Condition
New
Series
Information Science and Statistics
Number of Pages
314
Place of Publication
New York, NY, United States
ISBN
9781441931603
SKU
V9781441931603
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for The Nature Of Statistical Learning Theor
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

Goodreads reviews for The Nature Of Statistical Learning Theor


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