An overview on Restricted Boltzmann Machines

doi:10.1016/j.neucom.2017.09.065

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	An overview on Restricted Boltzmann Machines
	Zhang, Nan 1,2; Ding, Shifei 1,2; Zhang, Jian 1,2; Xue, Yu 3
刊名	NEUROCOMPUTING
	2018-01-31
卷号	275 页码:1186-1199
关键词	Restricted Boltzmann Machine Classification Representational learning Deep networks
ISSN号	0925-2312
DOI	10.1016/j.neucom.2017.09.065
英文摘要	The Restricted Boltzmann Machine (RBM) has aroused wide interest in machine learning fields during the past decade. This review aims to report the recent developments in theoretical research and applications of the RBM. We first give an overview of the general RBM from the theoretical perspective, including stochastic approximation methods, stochastic gradient methods, and preventing overfitting methods. And then this review focuses on the RBM variants which further improve the learning ability of the RBM under general or specific applications. The RBM has recently been extended for representational learning, document modeling, multi-label learning, weakly supervised learning and many other tasks. The RBM and RBM variants provide powerful tools for representing dependency in the data, and they can be used as the basic building blocks to create deep networks. Apart from the Deep Belief Network (DBN) and the Deep Boltzmann Machine (DBM), the RBM can also be combined with the Convolutional Neural Network (CNN) to create deep networks. This review provides a comprehensive view of these advances in the RBM together with its future perspectives. (C) 2017 Elsevier B.V. All rights reserved.
资助项目	National Natural Science Foundation of China[61672522] ; National Natural Science Foundation of China[61379101] ; National Key Basic Research Program of China[2013CB329502] ; Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) ; Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET)
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000418370200113
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/5534]
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.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 2.China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221116, Peoples R China 3.Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Nan,Ding, Shifei,Zhang, Jian,et al. An overview on Restricted Boltzmann Machines[J]. NEUROCOMPUTING,2018,275:1186-1199.
APA	Zhang, Nan,Ding, Shifei,Zhang, Jian,&Xue, Yu.(2018).An overview on Restricted Boltzmann Machines.NEUROCOMPUTING,275,1186-1199.
MLA	Zhang, Nan,et al."An overview on Restricted Boltzmann Machines".NEUROCOMPUTING 275(2018):1186-1199.