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	BVDT: A Boosted Vector Decision Tree Algorithm for Multi-Class Classification Problems
	Wu, Kaiyuan; Zheng, Zhiming; Tang, Shaoting
刊名	INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
	2017
卷号	31
关键词	Multi-class classification vector decision tree constraint optimization gradient boosting
ISSN号	0218-0014
DOI	10.1142/S0218001417500161
URL标识	查看原文
收录类别	SCIE ; EI
WOS记录号	WOS:000395116600006
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5941020
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Wu, Kaiyuan,Zheng, Zhiming,Tang, Shaoting. BVDT: A Boosted Vector Decision Tree Algorithm for Multi-Class Classification Problems[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2017,31.
APA	Wu, Kaiyuan,Zheng, Zhiming,&Tang, Shaoting.(2017).BVDT: A Boosted Vector Decision Tree Algorithm for Multi-Class Classification Problems.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,31.
MLA	Wu, Kaiyuan,et al."BVDT: A Boosted Vector Decision Tree Algorithm for Multi-Class Classification Problems".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 31(2017).

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