Effectiveness of Multi-Perspective Representation Scheme on Support Vector Machines

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http://doi.ieeecomputersociety.org/10.1109/AINAW.2007.163

21st International Conference on Adva ...

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	Jia Zeng, Reda Alhajj, "Effectiveness of Multi-Perspective Representation Scheme on Support Vector Machines," Advanced Information Networking and Applications Workshops, International Conference on, vol. 1, pp. 335-340, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007.

	BibTex	x
	@article{ 10.1109/AINAW.2007.163, author = {Jia Zeng and Reda Alhajj}, title = {Effectiveness of Multi-Perspective Representation Scheme on Support Vector Machines}, journal ={Advanced Information Networking and Applications Workshops, International Conference on}, volume = {1}, year = {2007}, isbn = {0-7695-2847-3}, pages = {335-340}, doi = {http://doi.ieeecomputersociety.org/10.1109/AINAW.2007.163}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Advanced Information Networking and Applications Workshops, International Conference on TI - Effectiveness of Multi-Perspective Representation Scheme on Support Vector Machines SN - 0-7695-2847-3 SP335 EP340 A1 - Jia Zeng, A1 - Reda Alhajj, PY - 2007 KW - support vector machine KW - classification KW - multi-perspective representation method. VL - 1 JA - Advanced Information Networking and Applications Workshops, International Conference on ER -

Jia Zeng, University of Calgary, Canada

Reda Alhajj, University of Calgary, Canada; Global University, Lebanon

In this paper, we present a multi-perspective representation (MPR) method, which takes advantage of the synergy of multiple representations of an information object. We have provided a detailed description of how to integrate the MPR scheme with support vector machines (MPR-SVM). The results of the experiments conducted on two benchmark data sets have shown the applicability and effectiveness of using the MPR-SVM scheme for classification purposes.

Index Terms:

support vector machine, classification, multi-perspective representation method.

Citation:

Jia Zeng, Reda Alhajj, "Effectiveness of Multi-Perspective Representation Scheme on Support Vector Machines," ainaw, vol. 1, pp.335-340, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007

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