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A Probabilistic Theory of Pattern Recognition (Paperback, Softcover reprint of the original 1st ed. 1996) Loot Price: R2,734

Discovery Miles 27 340

Repayment Terms: R256 pm x 12*

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A Probabilistic Theory of Pattern Recognition (Paperback, Softcover reprint of the original 1st ed. 1996): Luc Devroye, Laszlo...

A Probabilistic Theory of Pattern Recognition (Paperback, Softcover reprint of the original 1st ed. 1996)

Luc Devroye, Laszlo Gyoerfi, Gabor Lugosi

Series: Stochastic Modelling and Applied Probability, 31

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Loot Price R2,734 Discovery Miles 27 340 | Repayment Terms: R256 pm x 12*

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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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Stochastic Modelling and Applied Probability, 31
Release date:	November 2013
First published:	1996
Authors:	Luc Devroye • Laszlo Gyoerfi • Gabor Lugosi
Dimensions:	235 x 155 x 34mm (L x W x T)
Format:	Paperback
Pages:	638
Edition:	Softcover reprint of the original 1st ed. 1996
ISBN-13:	978-1-4612-6877-2
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Applications of computing > Pattern recognition Promotions
LSN:	1-4612-6877-X
Barcode:	9781461268772