SVM-JAVA, developed for research and educational purpose, is a Java implementation of John C. Platt's sequential minimal optimization (SMO) for training a support vector machine (SVM). This program is based on the pseudocode in "Fast Training of Support Vector Machines using Sequential Minimal Optimization" by John C. Platt and in "Sequential Minimal Optimization for SVM" by Xianping Ge. It currently supports linear and RBF kernels.
This software is an extension of the SVMlight software. It provides an interface to kernel functions that are implemented in Java by means of the Java Native Interface (JNI) Invocation API.
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.