Submit an Enquiry or Call Us +44 (0) 1482 384660
Image for A Probabilistic Theory of Pattern Recognition

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

By: Devroye, Luc Gyoerfi, Laszlo Lugosi, Gabor

Part of the Stochastic Modelling and Applied Probability series
0387946187 / 9780387946184
Usually dispatched within 2 weeks
United States
155 x 235 mm, 2420 grams 638 pages, XV, 638 p.
Professional & Vocational  Learn More Postgraduate, Research & Scholarly

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.


PBT Probability & statistics, PBW Applied mathematics, UYQP Pattern recognition

Our price£99.99
Other Formats