A Probabilistic Theory of Pattern Recognition

Gyà rfi, Lászlà , Devroye, Luc, Lugosi, Gabor

ISBN 10: 0387946187 / ISBN 13: 9780387946184

Published by Springer New York, 1996

About this Item

Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Seller Inventory # 58116111-20

Bibliographic Details

• Title: A Probabilistic Theory of Pattern Recognition
• Publisher: Springer New York
• Publication Date: 1996
• Language: English
• ISBN 10: 0387946187
• ISBN 13: 9780387946184
• Binding: Hardcover
• Condition: Very Good
• Weight: 5.335 pounds

About this title

Synopsis

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.

From the Back Cover

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.