The Nature of Statistical Learning Theory (Information Science and Statistics)
Language: English
Published by Springer 1999-11-19, 1999
- Hardcover
- New
Seller: Chiron Media, Wallingford, United KingdomChiron Media
AbeBooks seller since August 2, 2010
Condition: New
£ 205.46
Quantity: 2 available
Add to basketItem description from seller
Brand new book, sourced directly from publisher. Dispatch time is 9-10 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.
Seller Inventory # 6666-LBR-9780387987804
- Title
- The Nature of Statistical Learning Theory (Information Science and Statistics)
- Author
- Vladimir Vapnik
- Publisher
- Springer 1999-11-19
- Publication year
- 1999
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0387987800
- ISBN 13
- 9780387987804
- Edition
- 2nd Edition
- Series
- Book 17 of 19: Information Science and Statistics
"Synopsis" may belong to another edition of this title.
Review
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 to any reader who feels lost in modern terminology, such as artificial intelligence, neural networks, machine learning etcetera."
"The book by Vapnik focuses on how to estimate a function of parameters from empirical data ... . The book is concisely written and is intended to be useful to statisticians, computer scientists, mathematicians, and physicists. ... This book is very well written at a very high level of abstract thinking and comprehension. The references are up-to-date." (Ramalingam Shanmugam, Journal of Statistical Computation and Simulation, Vol. 75 (2), February, 2005)
"The aim of the book is to introduce a wide range of readers to the fundamental ideas of statistical learning theory. ... Each chapter is supplemented by ‘Reasoning and Comments’ which describe the relations between classical research in mathematical statistics and research in learning theory. ... The book is well suited to promote the ideas of statistical learning theory and can be warmly recommended to all who are interested in computer learning problems." (S. Vogel, Metrika, June, 2002)
"About the title" may belong to another edition of this title.
Chiron Media
Wallingford, United Kingdom
AbeBooks seller since August 2, 2010
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