this file contains many typical variations of svm, such as smo and npa and kernel method for pca.IN all, five useful libraries for svm classification and regression.
The present LS-SVMlab toolbox User’s Guide contains Matlab implementations for a number of LS-SVM algorithms related to classification, regression, time-series prediction and unsupervised learning. All functions are tested with Matlab R2008a, R2008b
