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A Probabilistic Theory of Pattern Recognition : Stochastic Modelling and Applied Probability - Luc Devroye

A Probabilistic Theory of Pattern Recognition

By: Luc Devroye, László Györfi, Gabor Lugosi

Hardcover | 1 March 1997

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Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed. The aim of this book is to provide a self-contained account of probabilistic analysis of these approaches. The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, tree classifiers, and neural networks.
Wherever possible, distribution-free properties and inequalities are derived. A substantial portion of the results or the analysis is new. Over 430 problems and exercises complement the material.

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Published: 22nd November 2013

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