Site dedicated to learning methods that build on kernels such as the support vector machine. Presents answers to frequently asked questions, books, publications, and related links.

Technique for training support vector machines based on a simple iterative approach. Provides software download and technical report.

Collection of support vector machine applications with reference and data links.

Implementation of Support Vector Machines (SVMs) in C. Features a fast optimization algorithm, the ability to solve classification and regression problems, sparse vector representation use, and restarts from specified vector of dual variables.