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A Probabilistic Theory of Pattern Recognition (Paperback, Softcover reprint of the original 1st ed. 1996) Loot Price: R2,804
Discovery Miles 28 040
Repayment Terms: R263 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 R2,804 Discovery Miles 28 040 | Repayment Terms: R263 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
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LSN: 1-4612-6877-X
Barcode: 9781461268772

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