A Semi-Supervised Learning Algorithm Based on Modified Self-training SVM
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| Title | A Semi-Supervised Learning Algorithm Based on Modified Self-training SVM |
| Authors | |
| Abstract | In this paper, we first introduce some facts about semi-supervised learning and its often used methods such as generative mixture models, self-training, co-training and Transductive SVM and so on. Then we present a self-training semi-supervised SVM algorithm based on which we give out a modified 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 and obtain a better classifier with good performance. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2011-07-01 |
| Source | Journal of Computers Vol 6, No 7 (2011) |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |