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The Nature of Statistical Learning Theory (Information Science and Statistics)
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| #1437039 in Books | Vladimir Vapnik | 1999-11-19 | Original language:English | PDF # 1 | 9.21 x.81 x6.14l,1.40 | File type: PDF | 314 pages | The Nature of Statistical Learning Theory||1 of 1 people found the following review helpful.| Rite of passage for empirical modeling|By Renat Bekbolatov|Wordy, but a good text to get good (personal) insights of Vapnik. A must-have for anyone working on statistical learning.|4 of 8 people found the following review helpful.| New to Field of Learning Theory|By Engineer Always Learning|I am relatively new to statistic|||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 understa
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. This second edition contains three new chapters devoted to further development of...
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