NDLI: Multi-Layer Support Vector Machine and its Application

Content Provider	IEEE Xplore Digital Library
Author	You-Xi Wu Lei Guo Yan Li Xue-Qin Shen Wei-Li Yan
Copyright Year	2006
Description	Author affiliation: Sch. of Comput. Sci. & Software, Hebei Univ. of Technol., Tianjin (You-Xi Wu)
Abstract	Based on statistical learning theory (SLT), support vector machine (SVM), which is a new kind of machine learning method that is used for classification and regression. SVM is considered as two layers learning machine since it maps the original space into a high dimensional feature space, i.e., input layer and high dimensional feature space layer. If the high dimensional feature space layer is considered as a new problem's input layer and the new problem is also solved by SVM, the new problem can be solved by SVMs named multi-layer SVM (MLSVM). MLSVM is composed of input layer and at least one layer high dimensional feature space layer. In this paper, m-th order ordinary differential equations are solved by MLSVM for regression. Experimental results indicate that MLSVM can effectively solve the problem of ordinary differential equations. Thus, MLSVM exhibits its great potential to solve other complex problems
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	3627
Ending Page	3631
File Size	206750
Page Count	5
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258583
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Quadratic programming Support vector machine classification Machine learning Differential equations Space technology Learning systems Risk management Neural networks Lagrangian functions kernel function Support Vector Machine Multi-Layer SVM m-th order ordinary differential equations
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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