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Probabilistic Theory of Pattern Recognition

Jezik EngleskiEngleski
Knjiga Tvrdi uvez
Knjiga Probabilistic Theory of Pattern Recognition Luc Devroye
Libristo kod: 01384098
Nakladnici Springer-Verlag New York Inc., lipanj 1996
Pattern recognition presents one of the most significant challenges for scientists and engineers, an... Cijeli opis
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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.

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Informacije o knjizi

Puni naziv Probabilistic Theory of Pattern Recognition
Autor Luc Devroye, Laszlo Györfi, Gabor Lugosi
Jezik Engleski
Uvez Knjiga - Tvrdi uvez
Datum izdanja 1996
Broj stranica 638
EAN 9780387946184
ISBN 0387946187
Libristo kod 01384098
Nakladnici Springer-Verlag New York Inc.
Težina 1122
Dimenzije 243 x 166 x 39

Kategorija

Mathematics & Science > Mathematics > Applied mathematics > Stochastics
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Mathematics & Science > Mathematics > Probability & statistics
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