A Model of Dual Fabry-Perot Etalon-Based External-Cavity Tunable Laser Us...
Internal motion within pulsating pure-quartic soliton molecules in a fibe...
Enhanced light emission of germanium light-emitting-diode on 150 mm germa...
The Fabrication of GaN Nanostructures Using Cost-Effective Methods for Ap...
Negative-to-Positive Tunnel Magnetoresistance in van der Waals Fe3GeTe2/C...
Quantum Light Source Based on Semiconductor Quantum Dots: A Review
A High-Reliability RF MEMS Metal-Contact Switch Based on Al-Sc Alloy
Development of a Mode-Locked Fiber Laser Utilizing a Niobium Diselenide S...
Development of Multiple Fano-Resonance-Based All-Dielectric Metastructure...
Traffic Vibration Signal Analysis of DAS Fiber Optic Cables with Differen...
官方微信
友情链接

A review of research on co-training

2021-04-01

 

Author(s): Ning, X (Ning, Xin); Wang, XR (Wang, Xinran); Xu, SH (Xu, Shaohui); Cai, WW (Cai, Weiwei); Zhang, LP (Zhang, Liping); Yu, LA (Yu, Lina); Li, WF (Li, Wenfa)

Source: CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE Article Number: e6276 DOI: 10.1002/cpe.6276 Early Access Date: MAR 2021

Abstract: 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.

Accession Number: WOS:000630700400001

Author Identifiers:

Author        Web of Science ResearcherID        ORCID Number

Cai, Weiwei         AAH-5456-2020         0000-0001-6795-6152

ISSN: 1532-0626

eISSN: 1532-0634

Full Text: https://onlinelibrary.wiley.com/doi/10.1002/cpe.6276



关于我们
下载视频观看
联系方式
通信地址

北京市海淀区清华东路甲35号(林大北路中段) 北京912信箱 (100083)

电话

010-82304210/010-82305052(传真)

E-mail

semi@semi.ac.cn

交通地图
版权所有 中国科学院半导体研究所

备案号:京ICP备05085259-1号 京公网安备110402500052 中国科学院半导体所声明