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A Probabilistic Theory of Pattern Recognition (Hardcover, 1st ed. 1996. Corr. 2nd printing 1997) Loot Price: R3,688
Discovery Miles 36 880
Repayment Terms: R346 pm x 12*
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A Probabilistic Theory of Pattern Recognition (Hardcover, 1st ed. 1996. Corr. 2nd printing 1997): Luc Devroye, Laszlo Gyoerfi,...

A Probabilistic Theory of Pattern Recognition (Hardcover, 1st ed. 1996. Corr. 2nd printing 1997)

Luc Devroye, Laszlo Gyoerfi, Gabor Lugosi

Series: Stochastic Modelling and Applied Probability, 31

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Loot Price R3,688 Discovery Miles 36 880 | Repayment Terms: R346 pm x 12*

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A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Stochastic Modelling and Applied Probability, 31
Release date: February 1997
First published: March 1997
Authors: Luc Devroye • Laszlo Gyoerfi • Gabor Lugosi
Dimensions: 235 x 155 x 39mm (L x W x T)
Format: Hardcover
Pages: 638
Edition: 1st ed. 1996. Corr. 2nd printing 1997
ISBN-13: 978-0-387-94618-4
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Science & Mathematics > Mathematics > Applied mathematics > General
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LSN: 0-387-94618-7
Barcode: 9780387946184

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