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	NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification (EI收录)
	Wu, Qingyao[1]; Tan, Mingkui[2]; Li, Xutao[3]; Min, Huaqing[1]; Sun, Ning[4]
刊名	Knowledge-Based Systems
	2015
卷号	89页码:160-172
关键词	Algorithms Classification (of information) Factorization Optimization Virtual reality
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2212270
专题	华南理工大学
作者单位	1.[1] School of Software Engineering, South China University of Technology, Guangzhou, China 2.[2] School of Computer Science, University of Adelaide, Australia 3.[3] School of Computer Engineering, Nanyang Technological University, Singapore, Singapore 4.[4] School of Business and Management, Hong Kong University of Science and Technology, Hong Kong, Hong Kong
推荐引用方式 GB/T 7714	Wu, Qingyao[1],Tan, Mingkui[2],Li, Xutao[3],等. NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification (EI收录)[J]. Knowledge-Based Systems,2015,89:160-172.
APA	Wu, Qingyao[1],Tan, Mingkui[2],Li, Xutao[3],Min, Huaqing[1],&Sun, Ning[4].(2015).NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification (EI收录).Knowledge-Based Systems,89,160-172.
MLA	Wu, Qingyao[1],et al."NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification (EI收录)".Knowledge-Based Systems 89(2015):160-172.

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