Overview
- Authors:
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Luc Devroye
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School of Computer Science, McGill University, Montreal, Canada
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László Györfi
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Department of Mathematics and Computer Science, Technical University of Budapest, Budapest, Hungary
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Gábor Lugosi
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Department of Mathematics and Computer Science, Technical University of Budapest, Budapest, Hungary
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About this book
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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Table of contents (32 chapters)
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 1-8
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 9-20
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 21-37
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 39-59
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 61-90
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 91-109
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 111-119
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 121-132
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 133-145
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 147-167
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 169-185
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 187-213
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 215-232
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 233-247
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 249-262
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 263-278
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 279-288
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 289-301
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- Luc Devroye, László Györfi, Gábor Lugosi
Pages 303-313