SVMlight is an implementation of Vapnik's Support Vector Machine for the problem of pattern recognition. The optimization algorithm has scalable memory requirements and can handle problems with many thousands of support vectors efficiently. You can also use SVMs with cost models. The code has been used on a large range of problems, including text classification, several image recognition tasks, and medical applications.
Release Notes: First freshmeat announcement.