Communication Systems and Network Technologies, International Conference on
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Abstract

In this paper, we present a modified self-training semi-supervised SVM algorithm. In order to demonstate its validity and effectiveness, we carry out some experimentswhich 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 lableling the unlabelled data.
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