Laplacian embedded regression for scalable manifold regularization

Laplacian embedded regression for scalable manifold regularization

Semi-supervised learning (SSL), as a powerful tool to learn from a limited number of labeled data and a large number of unlabeled data, has been attracting increasing attention in the machine learning community. In particular, the manifold regularization framework has laid solid theoretical foundati...

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書目詳細資料
Main Authors:	Chen, Lin, Tsang, Ivor Wai-Hung, Xu, Dong
其他作者:	School of Computer Engineering
格式:	Article
語言:	English
出版:	2013
主題:	DRNTU::Engineering::Computer science and engineering
在線閱讀:	https://hdl.handle.net/10356/99250 http://hdl.handle.net/10220/13482
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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