A Probabilistic Theory of Pattern Recognition: 31 (Stochastic Modelling and Applied Probability) - Softcover

Devroye, Luc; Györfi, Laszlo; Lugosi, Gabor

 
9781461268772: A Probabilistic Theory of Pattern Recognition: 31 (Stochastic Modelling and Applied Probability)
Softcover
ISBN 10: 146126877X ISBN 13: 9781461268772
Verlag: Springer, 2013

Inhaltsangabe

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.

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Reseña del editor

A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.

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Verlag
Springer
Erscheinungsdatum
2013
Sprache
Englisch
ISBN 10 
146126877X
ISBN 13 
9781461268772
Einband
Tapa blanda
Anzahl der Seiten
660
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
CMN Printpool Inh. Mathis Neumann
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Hamburg
Deutschland

Weitere beliebte Ausgaben desselben Titels

9780387946184: A Probabilistic Theory of Pattern Recognition: 31 (Stochastic Modelling and Applied Probability)

Vorgestellte Ausgabe

ISBN 10:  0387946187 ISBN 13:  9780387946184
Verlag: Springer, 1997
Hardcover