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21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07)
Effectiveness of Multi-Perspective Representation Scheme on Support Vector Machines
Niagara Falls, Ontario, Canada
May 21-May 23
ISBN: 0-7695-2847-3
| ASCII Text | x | ||
| 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 - | |||
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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