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Statistical Learning Theory

Vladimir N. Vapnik




[PDF.vb81] Statistical Learning Theory

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 | #1868962 in Books |  1998-09-30 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.50 x1.40 x6.40l,2.55 | File type: PDF | 768 pages

||0 of 0 people found the following review helpful.| Classic|By MR Brain|This is a wonderful book that provides a brief history of the philosophy of statistical learning theory followed by a thorough review of the concepts of the theory. The proofs back up the intuition to give a uniquely deep understanding of the philosophy of statistical learning theory. While th book is quite old (1998), it remains timeless and is an excelle|From the Publisher|This book is devoted to the statistical theory of learning and generalization, that is, the problem of choosing the desired function on the basis of empirical data. The author will present the whole picture of learning and generalization theor

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 estimate...

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

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