Naiyang Deng, Yingjie Tian, Chunhua Zhang

Support Vector Machines

Optimization Based Theory, Algorithms, and Extensions

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 364
• Erscheinungstermin: 17. Dezember 2012
• Englisch
• Abmessung: 239mm x 155mm x 23mm
• Gewicht: 635g
• ISBN-13: 9781439857922
• ISBN-10: 143985792X
• Artikelnr.: 32908063

Autorenporträt

Naiyang Deng, Yingjie Tian, Chunhua Zhang

Inhaltsangabe

Optimization. Linear Classification Machines. Linear Regression Machines.
Kernels and Support Vector Machines. Basic Statistical Learning Theory of
C-Support Vector Classification. Model Construction. Implementation.
Variants and Extensions of Support Vector Machines. Bibliography. Index.