Stochastic Modelling and Applied Probability
1 primary work
Book 31
A Probabilistic Theory of Pattern Recognition
by Luc Devroye, Laszlo Gyoerfi, and Gabor Lugosi
Published 20 February 1997
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.