A review of research on co-training

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Ning, Xin;Wang, Xinran;Xu, Shaohui;Cai, Weiwei;Zhang, Liping;...

通讯作者：

Yu, Lina;Li, Wenfa

作者机构：

[Yu, Lina; Li, WF; Ning, Xin; Li, Wenfa] Chinese Acad Sci, Inst Semicond, Beijing, Peoples R China.

[Ning, Xin; Xu, Shaohui; Zhang, Liping] Cognit Comp Technol Joint Lab, Wave Grp, Beijing, Peoples R China.

[Ning, Xin; Xu, Shaohui] Shenzhen Wave Kingdom Co Ltd, Shenzhen, Peoples R China.

[Wang, Xinran] Beijing Univ Posts & Telecommun, Beijing, Peoples R China.

[Cai, Weiwei] Cent South Univ Forestry & Technol, Sch Logist & Transportat, Changsha, Peoples R China.

通讯机构：

[Yu, LA; Li, WF] C

[Li, Wenfa] B

Chinese Acad Sci, Inst Semicond, Beijing, Peoples R China.

Beijing Union Univ, Coll Robot, Beijing, Peoples R China.

语种：

英文

关键词：

co‐training algorithm;label confidence;machine learning;semi‐supervised learning;unlabeled data

期刊：

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

ISSN：

1532-0626

年：

2020

卷：

期：

页码：

e6276-

DOI：

10.1002/cpe.6276

基金类别：

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61901436, 61972040]; Premium Funding Project for Academic Human Resources Development in Beijing Union University [BPHR2020AZ03]

机构署名：

本校为其他机构

院系归属：

交通运输与物流学院

摘要：

Co-training algorithm is one of the main methods of semi-supervised learning in machine learning, which explores the effective information in unlabeled data by multi-learner collaboration. Based on the development of co-training algorithm, the research work in recent years was further summarized in this article. In particular, three main steps of relevant co-training algorithms are introduced: view acquisition, learners' differentiation, and label confidence estimation. Finally, we summarized the problems existing in the current co-training methods, gave some suggestions for improvement, and l...

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A review of research on co-training

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