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A Probabilistic Theory of Pattern Recognition (Hardcover, 1st ed. 1996. Corr. 2nd printing 1997) Loot Price: R4,100

Discovery Miles 41 000

Repayment Terms: R384 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 R4,100 Discovery Miles 41 000 | Repayment Terms: R384 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 Promotions
LSN:	0-387-94618-7
Barcode:	9780387946184