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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability) Hardback - 1997
by Devroye L.
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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.
Details
- Title A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
- Author Devroye L.
- Binding Hardback
- Edition INTERNATIONAL ED
- Pages 636
- Language ENG
- Publisher Springer, U.S.A.
- Publication date 1997-02
- Features Bibliography, Illustrated, Index
- ISBN 9780387946184
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A Probabilistic Theory Of Pattern Recognition, Sie (Pb-2014)
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Probabilistic Theory of Pattern Recognition (1996. Corr. 2nd Printing 1997)
by Luc Devroye,Laszlo Györfi,Gabor Lugosi
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
by Devroye, Luc
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A Probabilistic Theory of Pattern Recognition
by László Györfi Luc Devroye Gabor Lugosi
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
by Devroye, Luc
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Probabilistic Theory Of Pattern Recognition
by Devroye, Luc,
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