A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)

A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)

by Gabor Lugosi (Author), Luc Devroye (Author), Laszlo Györfi (Author)

Synopsis

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.

$173.72

Quantity

20+ in stock

More Information

Format: Hardcover
Pages: 660
Edition: 1st ed. 1996. Corr. 2nd printing
Publisher: Springer
Published: 01 Mar 1997

ISBN 10: 0387946187
ISBN 13: 9780387946184