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Online learning algorithms of direct support vector machine
Li, Junfei; Chen, Xiaomin; Li, J. (ljf@cssar.ac.cn)
Department空间技术部
Source PublicationInternational Journal of Advancements in Computing Technology
2011
Volume3Issue:11Pages:486-497
ISSN2005-8039
Language英语
AbstractWith the development of support vector machine, online learning became important in many areas.-Direct support vector machine (DSVM) was a new deformation algorithm for standard support vector-machine(SVM) which had fewer computation complexity for training and prediction. Based on the-mathematical mode of DSVM for classification and regression, as well as using the property of block-matrix and kernel function matrix, we deduced online learning algorithms of DSVM according to time-window theoretically. By using Mackey-Glass chaotic time series for simulation, the results show that-the algorithms are workable and predictive values are in good accordance with original values. Our-work favours SVM's applications where online learning is necessary.; With the development of support vector machine, online learning became important in many areas.-Direct support vector machine (DSVM) was a new deformation algorithm for standard support vector-machine(SVM) which had fewer computation complexity for training and prediction. Based on the-mathematical mode of DSVM for classification and regression, as well as using the property of block-matrix and kernel function matrix, we deduced online learning algorithms of DSVM according to time-window theoretically. By using Mackey-Glass chaotic time series for simulation, the results show that-the algorithms are workable and predictive values are in good accordance with original values. Our-work favours SVM's applications where online learning is necessary.
Indexed ByEI
Funding Project中国科学院空间科学与应用研究中心
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/3018
Collection空间技术部
Corresponding AuthorLi, J. (ljf@cssar.ac.cn)
Recommended Citation
GB/T 7714
Li, Junfei,Chen, Xiaomin,Li, J. . Online learning algorithms of direct support vector machine[J]. International Journal of Advancements in Computing Technology,2011,3(11):486-497.
APA Li, Junfei,Chen, Xiaomin,&Li, J. .(2011).Online learning algorithms of direct support vector machine.International Journal of Advancements in Computing Technology,3(11),486-497.
MLA Li, Junfei,et al."Online learning algorithms of direct support vector machine".International Journal of Advancements in Computing Technology 3.11(2011):486-497.
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