Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification ...
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) ...
