Online Learning Algorithm of Direct Support Vector Machine for Regression Based on Matrix Operation
Li, Junfei; Chen, Xiaomin
2012
会议名称International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)
会议日期DEC 12-13, 2011
会议地点Hong Kong, PEOPLES R CHINA
关键词Direct support vector machine regression online learning matrix kernel function
页码727-736
通讯作者Li, JF (reprint author), Ctr Space Sci & Appl Res Beijing, Beijing, Peoples R China.
中文摘要With the development of support vector machine, its' application of online learning was paid close attention to more and more. In this paper ,we deduced an online learning algorithm for direct support vector machine (DSVM). By adding the bias square of hyperplane to the objective function, we introduced the mathematical mode of DSVM for regression which was extremely fast and simple, then we designed incremental and online learning algorithms by using the property of block matrix and kernel function matrix. Experimental results of simulation by using Mackey-Glass chaotic time series indicate the feasibility of the learning algorithm.
英文摘要With the development of support vector machine, its' application of online learning was paid close attention to more and more. In this paper ,we deduced an online learning algorithm for direct support vector machine (DSVM). By adding the bias square of hyperplane to the objective function, we introduced the mathematical mode of DSVM for regression which was extremely fast and simple, then we designed incremental and online learning algorithms by using the property of block matrix and kernel function matrix. Experimental results of simulation by using Mackey-Glass chaotic time series indicate the feasibility of the learning algorithm.
收录类别EI ; CPCI
会议录INSTRUMENTATION, MEASUREMENT, CIRCUITS AND SYSTEMS
会议录出版者SPRINGER-VERLAG BERLIN
会议录出版地BERLIN
学科主题空间技术
语种英语
ISSN号1867-5662
ISBN号978-3-642-27333-9
内容类型会议论文
源URL[http://ir.nssc.ac.cn/handle/122/2945]  
专题国家空间科学中心_空间技术部
推荐引用方式
GB/T 7714
Li, Junfei,Chen, Xiaomin. Online Learning Algorithm of Direct Support Vector Machine for Regression Based on Matrix Operation[C]. 见:International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011). Hong Kong, PEOPLES R CHINA. DEC 12-13, 2011.
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