Non-Fiction Books:

Pattern Classification

A Unified View of Statistical and Neural Approaches

Format

Hardback

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Pattern Classification by Jurgen Schurmann
$436.99
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Description

PATTERN CLASSIFICATION a unified view of statistical and neural approaches The product of years of research and practical experience in pattern classification, this book offers a theory-based engineering perspective on neural networks and statistical pattern classification. Pattern Classification sheds new light on the relationship between seemingly unrelated approaches to pattern recognition, including statistical methods, polynomial regression, multilayer perceptron, and radial basis functions. Important topics such as feature selection, reject criteria, classifier performance measurement, and classifier combinations are fully covered, as well as material on techniques that, until now, would have required an extensive literature search to locate. A full program of illustrations, graphs, and examples helps make the operations and general properties of different classification approaches intuitively understandable. Offering a lucid presentation of complex applications and their algorithms, Pattern Classification is an invaluable resource for researchers, engineers, and graduate students in this rapidly developing field.

Author Biography

JURGEN SCHURMANN is head of the Pattern Understanding Group at the Daimler-Benz Research Center in Ulm, Germany, and teaches at the Technical University of Darmstadt.
Release date NZ
April 4th, 1996
Country of Publication
United States
Illustrations
Illustrations
Imprint
John Wiley & Sons Inc
Pages
392
Dimensions
168x242x27
ISBN-13
9780471135340
Product ID
3076043

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