Statistical Learning Theory. This item is unavailable.
22 ratings by Goodreads
Language: English
Published by Wiley-Interscience, 1998
- Hardcover
- Used
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.ThriftBooks-Dallas
5-star seller
AbeBooks seller since July 2, 2009
Unavailable
Hardcover
Condition: Used - Very good
US$ 116.93
Item description from seller
May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Seller Inventory # G0471030031I4N00
- Title
- Statistical Learning Theory
- Author
- Vapnik, Vladimir N.
- Publisher
- Wiley-Interscience
- Publication year
- 1998
- Condition
- Very Good
- Dust jacket
- No Jacket
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471030031
- ISBN 13
- 9780471030034
- Item weight
- 2.8 pounds
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.
"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.