A Probabilistic Theory of Pattern Recognition

Luc Devroye

ISBN 10: 146126877X / ISBN 13: 9781461268772

Published by Springer New York, Springer New York Nov 2013, 2013

About this Item

Neuware -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, free 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 660 pp. Englisch.

Seller Inventory # 9781461268772

Bibliographic Details

• Title: A Probabilistic Theory of Pattern Recognition
• Publisher: Springer New York, Springer New York Nov 2013
• Publication Date: 2013
• Language: English
• ISBN 10: 146126877X
• ISBN 13: 9781461268772
• Binding: Taschenbuch
• Condition: Neu

About this title

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.