Articles liés à A Probabilistic Theory of Pattern Recognition

A Probabilistic Theory of Pattern Recognition - Couverture rigide

Livre 1 sur 30: Stochastic Modelling and Applied Probability

Devroye

 
9780387946184: A Probabilistic Theory of Pattern Recognition

Synopsis

Pattern recognition presents a significant challege for scientists and engineers, and many different approaches have been proposed. This book provides a self-contained account of probabilistic techniques that have been applied to the subject. Researchers and graduate students will benefit from this wide-ranging account of the field.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de la quatrième de couverture

Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed. The aim of this book is to provide a self-contained account of probabilistic analysis of these approaches. The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, tree classifiers, and neural networks. Wherever possible, distribution-free properties and inequalities are derived. A substantial portion of the results or the analysis is new. Over 430 problems and exercises complement the material.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.