A Probabilistic Theory of Pattern Recognition

Luc Devroye

ISBN 10: 146126877X / ISBN 13: 9781461268772

Verlag: Springer New York Nov 2013, 2013

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 660 pp. Englisch. Bestandsnummer des Verkäufers 9781461268772

Bibliografische Details

Titel: A Probabilistic Theory of Pattern Recognition

Verlag: Springer New York Nov 2013

Erscheinungsdatum: 2013

Einband: Taschenbuch

Zustand: Neu

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.