Support Vector Machines - Couverture rigide

Tian, Yingjie; Deng, Naiyang; Zhang, Chunhua

 
9781439857922: Support Vector Machines

Synopsis

Enabling a sound understanding of SVMs, this book gives readers the tools to solve real-world problems using SVMs. It presents an accessible treatment of the two main components of SVMs-classification problems and regression problems. The authors emphasize the close connection between optimization theory and SVMs since optimization is one of the pillars on which SVMs are built. They construct SVMs for semi-supervised, knowledge-based, and robust classification problems. They also cover SVMs for Universum, privileged, multi-class, multi-instance, and multi-label classification problems.

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

À propos de l?auteur

Naiyang Deng, Yingjie Tian, Chunhua Zhang

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