标题:Semi-supervised multi-view maximum entropy discrimination with expectation Laplacian regularization
作者:Chao G.[1]; Sun S.[2]
通讯作者地址:Sun, S.; Department of Computer Science and Technology, East China Normal University, 3663 North Zhongshan Road, China; 电子邮件: slsun@cs.ecnu.edu.cn
出版年:2019
卷:45
页码:296-306
关键词:Kernel method; Large-margin; Maximum entropy discrimination; Multi-view learning; Semi-supervised learning
摘要:Semi-supervised multi-view learning has attracted considerable attention and achieved great success in the machine learning field. This paper proposes 更多
收录类别:SCOPUS
资源类型:外文期刊论文
版权说明
文件名称:
文件大小: 0
内容类型:
版本类型: 出版稿
开放类型: 开放获取
使用许可: CC BY-NC-SA
相关成果:
TOP