Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10322897 | Expert Systems with Applications | 2011 | 7 Pages |
Abstract
⺠We propose a semi-supervised learning method by using the multi-class boosting. ⺠It handles K-class classification without reducing into multiple two-class problems. ⺠The classification accuracy of base classifier requires only 1/K or better. ⺠Higher classification accuracy is achieved by exploiting the unlabeled data.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Enmin Song, Dongshan Huang, Guangzhi Ma, Chih-Cheng Hung,