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The Nature of Statistical Learning Theory

Vladimir N. Vapnik




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 | #2603880 in Books |  1998-12-14 | Original language:English | PDF # 1 |  9.75 x6.75 x.75l,1.10 | File type: PDF | 188 pages

||0 of 0 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.|2 of 6 people found the following review helpful.| New to Field of Learning Theory|By Engineer Always Learning|I am relatively new to statistic| |"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." V.V. Fedorov, Oak Ridge National Laboratory, USA

The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning from the general point of view 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 general setting of learning problems and the gener...

You easily download any file type for your gadget.The Nature of Statistical Learning Theory   |  Vladimir N. Vapnik. I was recommended this book by a dear friend of mine.

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