Multi-view RBM with posterior consistency and domain adaptation

doi:10.1016/j.ins.2019.12.062

	Multi-view RBM with posterior consistency and domain adaptation
	Zhang, Nan 1; Ding, Shifei 1,2; Sun, Tongfeng 1; Liao, Hongmei 1; Wang, Lijuan 1; Shi, Zhongzhi 3
	2020-04-01
发表期刊	INFORMATION SCIENCES
ISSN	0020-0255
卷号	516 页码:142-157
摘要	The restricted Boltzmann machine (RBM) and extensions are rarely used in the field of multi-view learning. In this paper, we first present a multi-view RBM model for classification, which is named RBM with posterior consistency (PCRBM). PCRBM computes multiple representations by regularizing the marginal likelihood function with the consistency among representations from multiple views. However, PCRBM ignores the specific information of each view, where the learned representations just contain the consistency information among multiple views. To address this problem, we propose a novel multi-view RBM model and name it as RBM with posterior consistency and domain adaptation (PDRBM). PDRBM divides the hidden units of each view into two groups: the one is the view-consistency group that contains the consistency information among multiple views, and the other is the view-specific group that contains the information unique to this separate view. In addition, PDRBM balances the relationship among view-consistency hidden representations for multi-view classification. Contrasting with existing multi-view classification methods, PDRBM has achieved satisfactory results on two-class and multi-class classification multi-view datasets. (C) 2019 Elsevier Inc. All rights reserved.
关键词	Restricted Boltzmann machines Representational learning Multi-view learning Posterior consistency Domain adaptation
DOI	10.1016/j.ins.2019.12.062
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61672522] ; National Natural Science Foundation of China[61976216] ; National Natural Science Foundation of China[61379101]
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems
WOS记录号	WOS:000515432200009
出版者	ELSEVIER SCIENCE INC
引用统计	被引频次：15[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/14433
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Ding, Shifei
作者单位	1.China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221116, Jiangsu, Peoples R China 2.Minist Educ Peoples Republ China, Mine Digitizat Engn Res Ctr, Xuzhou 221116, Jiangsu, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Nan,Ding, Shifei,Sun, Tongfeng,et al. Multi-view RBM with posterior consistency and domain adaptation[J]. INFORMATION SCIENCES,2020,516:142-157.
APA	Zhang, Nan,Ding, Shifei,Sun, Tongfeng,Liao, Hongmei,Wang, Lijuan,&Shi, Zhongzhi.(2020).Multi-view RBM with posterior consistency and domain adaptation.INFORMATION SCIENCES,516,142-157.
MLA	Zhang, Nan,et al."Multi-view RBM with posterior consistency and domain adaptation".INFORMATION SCIENCES 516(2020):142-157.