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Support vector analysis of large-scale data based on kernels with iteratively increasing order
Chen, Bo-Wei1; He, Xinyu1; Ji, Wen2; Rho, Seungmin3; Kung, Sun-Yuan1
2016-09-01
发表期刊JOURNAL OF SUPERCOMPUTING
ISSN0920-8542
卷号72期号:9页码:3297-3311
摘要This study presents an efficient approach for large-scale data training. To deal with the rapid growth of training complexity for big data analysis, a novel mechanism, which utilizes fast kernel ridge regression (Fast KRR) and ridge support vector machines (Ridge SVMs), is proposed in this study. Firstly, Fast KRR based on low-order intrinsic-space computation is developed. Preliminary support vectors are located by using Fast KRR. Subsequently, the system iteratively removes indiscriminant data until a Ridge SVM with a high-order kernel can accommodate the data size and generate a hyperplane. To speed up the removal of indiscriminant data, quick intrinsic-matrix rebuilding is devised in the iteration. Experiments on three databases were carried out for evaluating the proposed method. Moreover, different percentages of data removal were examined in the test. The results show that the performance is enhanced by as high as 78-152 folds. Besides, the mechanisms still maintain the accuracy. These findings thereby demonstrate the effectiveness of the proposed idea.
关键词Support vector analysis Big data analysis Kernel ridge regression (KRR) Ridge support vector machine (Ridge SVM)
DOI10.1007/s11227-015-1404-1
收录类别SCI
语种英语
资助项目Ministry of Science and Technology, the Republic of China[103-2917-I-564-058] ; Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences[2015-4]
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000382094500002
出版者SPRINGER
引用统计
被引频次:9[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/8204
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Chen, Bo-Wei
作者单位1.Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA
2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
3.Sungkyul Univ, Dept Multimedia, Anyang, South Korea
推荐引用方式
GB/T 7714
Chen, Bo-Wei,He, Xinyu,Ji, Wen,et al. Support vector analysis of large-scale data based on kernels with iteratively increasing order[J]. JOURNAL OF SUPERCOMPUTING,2016,72(9):3297-3311.
APA Chen, Bo-Wei,He, Xinyu,Ji, Wen,Rho, Seungmin,&Kung, Sun-Yuan.(2016).Support vector analysis of large-scale data based on kernels with iteratively increasing order.JOURNAL OF SUPERCOMPUTING,72(9),3297-3311.
MLA Chen, Bo-Wei,et al."Support vector analysis of large-scale data based on kernels with iteratively increasing order".JOURNAL OF SUPERCOMPUTING 72.9(2016):3297-3311.
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