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

Devroye, Luc; Györfi, Laszlo; Lugosi, Gabor

ISBN 10: 146126877X / ISBN 13: 9781461268772

Verlag: Springer, 2013

Beschreibung

Bestandsnummer des Verkäufers ABLIING23Mar2716030028349

Bibliografische Details

• Titel: A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
• Verlag: Springer
• Erscheinungsjahr: 2013
• Sprache: Englisch
• ISBN-10: 146126877X
• ISBN-13: 9781461268772
• Einband: Softcover
• Zustand: New

Über diesen Titel

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.

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.