Pattern Classification: A Unified View of Statistical and Neural Approaches - Tapa dura

Schurmann

 
9780471135340: Pattern Classification: A Unified View of Statistical and Neural Approaches
Tapa dura
ISBN 10: 0471135348 ISBN 13: 9780471135340
Editorial: John Wiley & Sons, 1996

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

JÜRGEN SCHÜRMANN is head of the Pattern Understanding Group at the Daimler-Benz Research Center in Ulm, Germany, and teaches at the Technical University of Darmstadt.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
John Wiley & Sons
Año de publicación
1996
Idioma
Inglés
ISBN 10 
0471135348
ISBN 13 
9780471135340
Encuadernación
Tapa dura
Número de páginas
392
Contacto del fabricante
Wiley VCH Verlag GmbH
info@wiley-vch.de

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