Multiple Classifier Systems Analysis and Design: Hybrid Multi-class SVM Classifiers - Couverture souple

Bala, Manju; Agrawal, R. K.

 
9783848411276: Multiple Classifier Systems Analysis and Design: Hybrid Multi-class SVM Classifiers
Couverture souple
ISBN 10 : 384841127X ISBN 13 : 9783848411276
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

This book describes the need to develop classifiers for multi-class problems which can provide better accuracy. SVMs deliver state-of-the-art performance in real-world multi-class classification applications such as text categorization, hand-written character recognition, image classification, biosequences analysis and intrusion detection. Their first beginning in the early 1990s lead to a recent explosion of applications and deepening theoretical analysis, that has now recognized Support Vector Machines as one of the standard tools for machine learning and data mining. The main goal of this book is to develop SVM classifiers for multi-class problems which can provide better accuracy. Students will find the book both stimulating and accessible, while researchers will be guided smoothly through the material required for a good grasp of the theory and application of these classifiers. The concepts are introduced gradually in accessible and self-contained stages, though in each stage the presentation is meticulous and thorough. Pointers to relevant literature ensure that it forms an ideal starting point for further study.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This book describes the need to develop classifiers for multi-class problems which can provide better accuracy. SVMs deliver state-of-the-art performance in real-world multi-class classification applications such as text categorization, hand-written character recognition, image classification, biosequences analysis and intrusion detection. Their first beginning in the early 1990s lead to a recent explosion of applications and deepening theoretical analysis, that has now recognized Support Vector Machines as one of the standard tools for machine learning and data mining. The main goal of this book is to develop SVM classifiers for multi-class problems which can provide better accuracy. Students will find the book both stimulating and accessible, while researchers will be guided smoothly through the material required for a good grasp of the theory and application of these classifiers. The concepts are introduced gradually in accessible and self-contained stages, though in each stage the presentation is meticulous and thorough. Pointers to relevant literature ensure that it forms an ideal starting point for further study.

Biographie de l'auteur

Dr. Manju Bala, born in Rohtak (1979), is an Assistant Professor at I.P. College for Women, University of Delhi. She has authored numerous publications in the area of pattern recognition & computer graphics. She has earned her Ph.D. from Jawaharlal Nehru University, India in 2011. She presently resides in Delhi, India.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
384841127X
ISBN 13 
9783848411276
Reliure
Broché
Nombre de pages
128
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne