A kernel study on Support Vector Machines: Generalized Chebyshev Kernels - Couverture souple

Ozer, Sedat

Couverture souple

ISBN 10 : 3838305574 ISBN 13 : 9783838305578

Editeur : LAP Lambert Academic Publishing, 2009

Synopsis

Support Vector Machines (SVM) are known as the state of the art learning algorithms. Although they are called as the state of the art learning algorithms, the kernel functions take an important place when the SVM performance is the main concern. Recently Chebyshev kernel has been proposed as a good alternative to the well known and used Gaussian kernel. Therefore in this book we studied this kernel functions as well as several other kernel functions, and compared their performances. We also proposed a generalization method to use Chebyshev kernels on vector inputs directly. Moreover, we also discussed some properties of Gaussian kernels when used with SVM.

Détails de l'édition

• Éditeur: LAP Lambert Academic Publishing
• Date d'édition: 2009
• Langue: anglais
• ISBN 10: 3838305574
• ISBN 13: 9783838305578
• Reliure: Broché
• Nombre de pages: 84
• Coordonnées du fabricant: non disponible
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