* Serves as a fundamental introduction to statistical learning theory and its role in understanding human learning and inductive reasoning. * Topics of coverage include: probability, pattern recognition, optimal Bayes decision rule, nearest neighbor rule, kernel rules, neural networks, and support vector machines. Series: Wiley Series in Probability and Statistics. Num Pages: 232 pages, Illustrations. BIC Classification: PBT; UYQM. Category: (P) Professional & Vocational. Dimension: 237 x 162 x 17. Weight in Grams: 496. . 2011. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. N� de ref. del art�culo V9780470641835

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T�tulo: An Elementary Introduction to Statistical ...

Editorial: John Wiley & Sons Inc

A�o de publicaci�n: 2011

Encuadernaci�n: Encuadernaci�n de tapa dura

Condici�n: New

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P�ginas:234G�neros:12:PBT:Probability&statisticsSinopsis:

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The main focus of the book is on the ideas behind basic principles of learning theory and I can strongly recommend the book to anyone who wants to comprehend these ideas. (Mathematical Reviews, 1 January 2013) It also serves as an introductory reference for researchers and practitioners in the fields of engineering, computer science, philosophy, and cognitive science that would like to further their knowledge of the topic. (Zentralblatt MATH, 2012)

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