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Co-labeling : a new multi-view learning approach for ambiguous problems

We propose a multi-view learning approach called co-labeling which is applicable for several machine learning problems where the labels of training samples are uncertain, including semi-supervised learning (SSL), multi-instance learning (MIL) and max-margin clustering (MMC). Particularly, we first u...

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書目詳細資料
Main Authors: Duan, Lixin, Tsang, Ivor Wai-Hung, Xu, Dong, Li, Wen
其他作者: School of Computer Engineering
格式: Conference or Workshop Item
語言:English
出版: 2013
主題:
在線閱讀:https://hdl.handle.net/10356/99661
http://hdl.handle.net/10220/13032
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