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: | , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2012
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Online Access: | https://ink.library.smu.edu.sg/sis_research/2283 https://ink.library.smu.edu.sg/context/sis_research/article/3283/viewcontent/Multiview_semi_supervised_learning_consensus_2012_afv.pdf |
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Institution: | Singapore Management University |
Language: | English |
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