An effective SVM ensemble algorithm based on different thresholds of PCA

	An effective SVM ensemble algorithm based on different thresholds of PCA
	Yao, Yukai; Wang, Bo; Yang, Qingjun; Ji, Dongsheng; Ma, Tao; Chen, Xiaoyun
刊名	International Journal of Database Theory and Application
	2016
卷号	9 期号:2 页码:109-118
关键词	Principal component analysis Algorithms Classification (of information) Support vector machines Classification accuracy Classification tasks Ensemble classifiers Ensemble methods Majority Voting Support vector machine classifiers Uppsala University Voting strategies
ISSN号	2005-4270
通讯作者	Ma, Tao
学科主题	Information Theory and Signal Processing; Computer Software, Data Handling and Applications;Mathematical Statistics
语种	英语
内容类型	期刊论文
源URL	[http://ir.lzu.edu.cn/handle/262010/182713]
专题	信息科学与工程学院_期刊论文
推荐引用方式 GB/T 7714	Yao, Yukai,Wang, Bo,Yang, Qingjun,et al. An effective SVM ensemble algorithm based on different thresholds of PCA[J]. International Journal of Database Theory and Application,2016,9(2):109-118.
APA	Yao, Yukai,Wang, Bo,Yang, Qingjun,Ji, Dongsheng,Ma, Tao,&Chen, Xiaoyun.(2016).An effective SVM ensemble algorithm based on different thresholds of PCA.International Journal of Database Theory and Application,9(2),109-118.
MLA	Yao, Yukai,et al."An effective SVM ensemble algorithm based on different thresholds of PCA".International Journal of Database Theory and Application 9.2(2016):109-118.