An introduction to support vector machines : and other kernel-based learning methods /
Nello Cristianini and John Shawe-Taylor.
- Cambridge ; New York : Cambridge University Press, 2000.
- xiii, 189 p. : ill. (some col.) ; 26 cm.
The Learning Methodology (Page-1), Linear Learning Machines (Page-9), Kernel Induced Feature Space (Page-26), Generalization Theory (Page-52), Optimization Theory (Page-79), Support Vector Machines (Page-93) implementations Techniques (Page-125), Application of Support Vector Machines Implementations Techniques (Page-149), Pseudo code for the SMO Algorithm (Page-162).