A Probabilistic Theory of Pattern Recognition

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 probl...

9781461268772
Böcker > Data & IT > Datavetenskap > Artificiell intelligens > Mönsterigenkänning