文献类型：期刊文献

英文题名：A review of research on co-training

作者：Ning, Xin[1,2,3];Wang, Xinran[4];Xu, Shaohui[2,3];Cai, Weiwei[5];Zhang, Liping[2];Yu, Lina[1];Li, Wenfa[1,6]

第一作者：Ning, Xin

通讯作者：Yu, LA[1];Li, WF[1];Li, WF[2]

机构：[1]Chinese Acad Sci, Inst Semicond, Beijing, Peoples R China;[2]Cognit Comp Technol Joint Lab, Wave Grp, Beijing, Peoples R China;[3]Shenzhen Wave Kingdom Co Ltd, Shenzhen, Peoples R China;[4]Beijing Univ Posts & Telecommun, Beijing, Peoples R China;[5]Cent South Univ Forestry & Technol, Sch Logist & Transportat, Changsha, Peoples R China;[6]Beijing Union Univ, Coll Robot, Beijing, Peoples R China

第一机构：Chinese Acad Sci, Inst Semicond, Beijing, Peoples R China

通讯机构：[1]corresponding author), Chinese Acad Sci, Inst Semicond, Beijing, Peoples R China;[2]corresponding author), Beijing Union Univ, Coll Robot, Beijing, Peoples R China.|[1141739]北京联合大学机器人学院;[11417]北京联合大学;

年份：0

外文期刊名：CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

收录：;EI(收录号：20211310141713);Scopus(收录号：2-s2.0-85103084174);WOS:【SCI-EXPANDED(收录号:WOS:000630700400001)】；

基金：the National Natural Science Foundation of China, Grant/Award Numbers: 61901436, 61972040; the Premium Funding Project for Academic Human Resources Development in Beijing Union University, Grant/Award Number: BPHR2020AZ03

语种：英文

外文关键词：co‐ training algorithm; label confidence; machine learning; semi‐ supervised learning; unlabeled data

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 looked forward to the future development direction of the co-training algorithm.