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Autor: Luc Devroye
ISBN-13: 9780387946184
Einband: Book
Seiten: 660
Gewicht: 1129 g
Format: 244x166x45 mm
Sprache: Englisch
Erscheinungsdatum: 20.02.1997

A Probabilistic Theory of Pattern Recognition

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Preface Introduction The Bayes Error Inequalities and alternatedistance measures Linear discrimination Nearest neighbor rules Consistency Slow rates of convergence Error estimation The regularhistogram rule Kernel rules Consistency of the k-nearest neighborrule Vapnik-Chervonenkis theory Combinatorial aspects of Vapnik-Chervonenkis theory Lower bounds for empirical classifier selection The maximum likelihood principle Parametric classification Generalized linear discrimination Complexity regularization Condensed and edited nearest neighbor rules Tree classifiers Data-dependent partitioning Splitting the data The resubstitutionestimate Deleted estimates of the error probability Automatickernel rules Automatic nearest neighbor rules Hypercubes anddiscrete spaces Epsilon entropy and totally bounded sets Uniformlaws of large numbers Neural networks Other error estimates Feature extraction Appendix Notation References Index
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, free 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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Autor: Luc Devroye
ISBN-13:: 9780387946184
ISBN: 0387946187
Erscheinungsjahr: 20.02.1997
Verlag: Springer New York
Gewicht: 1129g
Seiten: 660
Sprache: Englisch
Auflage 97001, 1st ed. 1996. Corr. 2nd printing 1997
Sonstiges: Buch, 244x166x45 mm