Convergence rate of semi-supervised gradient learning algorithms
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- 作者：Baohuai Sheng
- 所属单位：数理与信息工程学院
- 文献类型：期刊
- 发表时间：2015-01-01
- 发表刊物：International Journal of Wavelets, Multiresolution and Information Processing
- 卷号：Vol.13
- 期号：No.4
- 页面范围：1550021
- Issn号：0219-6913
- 是否译文：否
- 关键字：Semi-supervised;learning;;convergence;rate;;reproducing;kernel;Hilbert;space
- 摘要：Semi-supervised learning deals with learning with a small amount labeled sample and a large amount of unlabeled sample to improve the learning ability. The purpose of the semi-supervised gradient learning is to increase the smoothness of the solution usin
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