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+LIBSVM is an integrated software for support vector classification, (C-SVC,
+nu-SVC ), regression (epsilon-SVR, nu-SVR) and distribution estimation
+(one-class SVM ). It supports multi-class classification. The basic algorithm
+is a simplification of both SMO by Platt and SVMLight by Joachims. It is also
+a simplification of the modification 2 of SMO by Keerthi et al.
+
+Our goal is to help users from other fields to easily use SVM as a tool.
+LIBSVM provides a simple interface where users can easily link it with their
+own programs. Main features of LIBSVM include
+
+Different SVM formulations
+Efficient multi-class classification
+Cross validation for model selection
+Weighted SVM for unbalanced data
+Both C++ and Java sources
+GUI demonstrating SVM classification and regression
+
+WWW: http://www.csie.ntu.edu.tw/~cjlin/libsvm/
+Author: Chih-Chung Chang and Chih-Jen Lin <cjlin@csie.ntu.edu.tw>