A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
Devroye, Luc; Györfi, Laszlo; Lugosi, Gabor
ISBN 10: 0387946187 ISBN 13: 9780387946184
Published by Springer, 1996
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In English. Seller Inventory # ria9780387946184_new
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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, 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.
From the Back Cover: 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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Bibliographic Details
Title: A Probabilistic Theory of Pattern ...
Publisher: Springer
Publication Date: 1996
Binding: Hardcover
Condition: New
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