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	A new and informative active learning approach for support vector machine
	Hu, Lisha[1]; Lu, Shuxia[2]; Wang, Xizhao[3]
刊名	INFORMATION SCIENCES
	2013
卷号	244页码:142-160
关键词	Support vector machine Active learning Relevance feedback Diversity
ISSN号	0020-0255
DOI	http://dx.doi.org/10.1016/j.ins.2013.05.010
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/5087063
专题	河北大学
作者单位	1.[1]Hebei Univ, Coll Math & Comp Sci, Key Lab Machine Learning & Computat Intelligence, Baoding 071002, Peoples R China. 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100864, Peoples R China. 3.[2]Hebei Univ, Coll Math & Comp Sci, Key Lab Machine Learning & Computat Intelligence, Baoding 071002, Peoples R China. 4.[3]Hebei Univ, Coll Math & Comp Sci, Key Lab Machine Learning & Computat Intelligence, Baoding 071002, Peoples R China.
推荐引用方式 GB/T 7714	Hu, Lisha[1],Lu, Shuxia[2],Wang, Xizhao[3]. A new and informative active learning approach for support vector machine[J]. INFORMATION SCIENCES,2013,244:142-160.
APA	Hu, Lisha[1],Lu, Shuxia[2],&Wang, Xizhao[3].(2013).A new and informative active learning approach for support vector machine.INFORMATION SCIENCES,244,142-160.
MLA	Hu, Lisha[1],et al."A new and informative active learning approach for support vector machine".INFORMATION SCIENCES 244(2013):142-160.

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