Top/Computers/Artificial_Intelligence/Support_Vector_Machines - Musharof Chy

Overview of domains in which SVMs have been applied.

University of Southampton. Overview and links to resources.

University of Wisconsin at Madison. Software and technical report.

A central source of information on kernel based methods, including support vector machines, Gaussia...

An unmoderated discussion list about Support Vector Machines methodology.

By Thorsten Joachims - describes an SVM approach to text classification.