Support Vector Machines for Pattern Classification (Advances in Computer Vision and Pattern Recognition)

Abe, Shigeo

ISBN 10: 1852339292 / ISBN 13: 9781852339296

Edité par Springer, 2005

A propos de cet article

2006.Hardcover.Fine.343 pages.Ships from Japan.Usually ships in 1-2 working days.

N° de réf. du vendeur 10651

Détails bibliographiques

• Titre: Support Vector Machines for Pattern Classification (Advances in Computer Vision and Pattern Recognition)
• Éditeur: Springer
• Date de parution: 2005
• Langue: anglais
• ISBN à 10 chiffres: 1852339292
• ISBN à 13 chiffres: 9781852339296
• Reliure: Hardcover
• Édition: 1st Edition
• État de l'article: Fine
• État de la jaquette: No Jacket

A propos de ce titre

Synopsis

Support vector machines (SVMs), were originally formulated for two-class classification problems, and have been accepted as a powerful tool for developing pattern classification and function approximations systems. This book provides a unique perspective of the state of the art in SVMs by taking the only approach that focuses on classification rather than covering the theoretical aspects. The book clarifies the characteristics of two-class SVMs through their extensive analysis, presents various useful architectures for multiclass classification and function approximation problems, and discusses kernel methods for improving generalization ability of conventional neural networks and fuzzy systems. Ample illustrations, examples and computer experiments are included to help readers understand the new ideas and their usefulness. This book supplies a comprehensive resource for the use of SVMs in pattern classification and will be invaluable reading for researchers, developers & students in academia and industry.