Format:
XV, 636 S.
,
graph. Darst.
ISBN:
0387946187
Series Statement:
Applications of mathematics 31
Content:
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
Content:
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
Language:
English
Subjects:
Computer Science
,
Mathematics
Keywords:
Mustererkennung
;
Wahrscheinlichkeitstheorie
;
Wahrscheinlichkeitsrechnung
;
Aufgabensammlung
URL:
http://www.loc.gov/catdir/enhancements/fy0815/95044633-d.html
URL:
http://www.loc.gov/catdir/enhancements/fy0815/95044633-t.html
URL:
Inhaltsverzeichnis
(kostenfrei)
Author information:
Devroye, Luc
Author information:
Györfi, László
Author information:
Lugosi, Gábor 1964-
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