A probabilistic theory of pattern recognition Luc Devroye, László Györfi, Gábor Lugosi. Applications of mathematics 31; Applications of Mathematics 31.

Devroye, Luc-informaticien:

ISBN 10: 0387946187 / ISBN 13: 9780387946184

Published by New York, Springer, 1996

About this Item

Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothčque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 68 DEV 9780387946184 Sprache: Englisch Gewicht in Gramm: 550. Seller Inventory # 2498768

Bibliographic Details

Title: A probabilistic theory of pattern ...

Publisher: New York, Springer

Publication Date: 1996

Binding: Hardcover

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.