mySVM

Publication Joachims/98c: Making large-Scale SVM Learning Practical
Schoelkopf/etal/2000a: New Support Vector Algorithms
Vapnik/98a: Statistical Learning Theory
schoelkopf/etal/99a: SV Estimation of a Distribution's Support
Name mySVM
Description

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.

Generalization SVM for regression
Method Type System