mySVM is an implementation of the Support Vector Machine introduced by
V. Vapnik (see "Statistical Learning Theory").
It is based on the optimization algorithm of SVMlight
as described in "Making large-Scale SVM Learning Practical".
mySVM can be used for pattern recognition, regression and
distribution estimation.
For more details and download of mySVM, please follow the
according link above.