http://www.support-vector-machines.org/SVM_soft.html

SVM and Kernel Methods Matlab Toolbox

http://asi.insa-rouen.fr/enseignants/~arakoto/toolbox/

• SVM Classification using linear and quadratic penalization of  misclassified examples ( penalization coefficients can be different for each examples)

• SVM Classification with Nearest Point Algorithm

• Multiclass SVM : one against all, one against one and M-SVM

• Large Scale SVM Classification/Regression

• SVM epsilon and nu regression

• One-Class SVM

• Regularisation Networks

• SVM bounds (Span estimate, radius/margin)

• Wavelet Kernel  

• SVM Based Feature Selection

• Kernel PCA

• Kernel Discriminant Analysis

• SVM Based Feature selection

• SVM AUC Optimization (Ranking SVM, ROC SVM) and RankBoost

• Kernel Basis Pursuit and Least Angle Regression (LARS) Algorithm

• Wavelet Kernel Regression with backfitting

• Interface with a version of libsvm

SVM Software

http://www.svms.org/software.html

Top 3

1. LIBSVM

2. SVMlight

3. SVMTorch

   
   

LS-SVM

http://www.esat.kuleuven.be/sista/lssvmlab/