Statistical Learning Theory
Language: English
Published by Wiley-Interscience, 1998
- Hardcover
- Used
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
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Condition: Used - Good
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Add to basketItem description from seller
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.
Seller Inventory # CIN0471030031G
- Title
- Statistical Learning Theory
- Author
- Vladimir N Vapnik
- Publisher
- Wiley-Interscience
- Publication year
- 1998
- Condition
- Good
- Binding
- Hardback
- Language
- English
- ISBN 10
- 0471030031
- ISBN 13
- 9780471030034
"Synopsis" may belong to another edition of this title.
About the Author
Vladimir Naumovich Vapnik is one of the main developers of the Vapnik-Chervonenkis theory of statistical learning, and the co-inventor of the support vector machine method, and support vector clustering algorithm.
"About the title" may belong to another edition of this title.
World of Books (was SecondSale)
Montgomery, IL, U.S.A.
AbeBooks seller since December 20, 2007
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