Multiview semi-supervised learning with consensus

Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications. Semi-supervised learning aims to improve the performance of a classifier trained with limited number of labeled data by utilizing the unlabeled ones. This paper demonstrates a way to...

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Main Authors: Li, Guangxia, Chang, Kuiyu, Hoi, Steven C. H.
其他作者: School of Computer Engineering
格式: Article
語言:English
出版: 2013
主題:
在線閱讀:https://hdl.handle.net/10356/99262
http://hdl.handle.net/10220/13512
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機構: Nanyang Technological University
語言: English