A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability) Hardback - 1996
by Devroye, Luc
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- Hardback
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Details
- Title A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
- Author Devroye, Luc
- Binding Hardback
- Edition Corrected
- Condition Used: Good
- Pages 636
- Language ENG
- Publisher Springer, U.S.A.
- Publication date 1996-04-04
- Features Bibliography, Illustrated, Index
- Bookseller's Inventory # SONG0387946187
- ISBN 9780387946184
- Weight 0.16 lbs (0.07 kg)
- Size 6.49x1.60x9.55
- Quantity available 1
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From the publisher
From the rear 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.