A Modified Self-Training Semi-supervised SVM Algorithm

In this paper, we present a modified self-training semi-supervised SVM algorithm. In order to demonstrate its validity and effectiveness, we carry out some experiments which prove that our method is better than the former algorithm. Using our modified self-training semi-supervised SVM algorithm, we can save much time for labeling the unlabelled data.