Co-training
Co-Training is a semi-supervised learning method that leverages two conditionally independent views of the data to iteratively train two classifiers, each using the high-confidence predictions of the other to expand the labeled training set.
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1.2K
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395
Institutions
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2017–2026
181
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360
Combining labeled and unlabeled data with co-training
Avrim Blum, Tom M. Mitchell · 1998 · 5.6K citations · Full text
Analyzing the effectiveness and applicability of co-training
Kamal Nigam, Rayid Ghani · 2000 · 1K citations · Full text
A Survey on Multi-view Learning
Chang Xu, Dacheng Tao, Chao Xu · arXiv (Cornell University) · 2013 · 1K citations · Full text
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395

Chinese Academy of Sciences
Beijing, China
15 h-index
40 publications
1.2K citations
Nanjing University
Nanjing, China
10 h-index
22 publications
4.4K citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
17 publications
14.5K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
9 h-index
22 publications
1.1K citations

The University of Sydney
Sydney, Australia
8 h-index
16 publications
647 citations

Peking University
Beijing, China
7 h-index
16 publications
2K citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
6 h-index
19 publications
508 citations
University of Technology Sydney
Sydney, Australia
6 h-index
10 publications
5.7K citations
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Repository · 29 publications · 3K citations
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6 publications · 221 citations
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Conference · 7 publications · 343 citations
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6 publications · 310 citations
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4 publications · 513 citations
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