Generalizing Version Space Support Vector Machines for Non-Separable Data

I
ICDMW
2006
Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)
Abstract - Generalizing Version Space Support Vector Machines for Non-Separable Data

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	Similar Articles Articles by E.N. Smirnov Articles by I.G. Sprinkhuizen-Kuyper Articles by N.I. Nikolaev

Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)

Hong Kong, China

December 18-December 22

ISBN: 0-7695-2702-7

	ASCII Text	x
	E.N. Smirnov, I.G. Sprinkhuizen-Kuyper, N.I. Nikolaev, "Generalizing Version Space Support Vector Machines for Non-Separable Data," Data Mining Workshops, International Conference on, pp. 744-748, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006.

	BibTex	x
	@article{ 10.1109/ICDMW.2006.86, author = {E.N. Smirnov and I.G. Sprinkhuizen-Kuyper and N.I. Nikolaev}, title = {Generalizing Version Space Support Vector Machines for Non-Separable Data}, journal ={Data Mining Workshops, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2702-7}, pages = {744-748}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.86}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining Workshops, International Conference on TI - Generalizing Version Space Support Vector Machines for Non-Separable Data SN - 0-7695-2702-7 SP744 EP748 A1 - E.N. Smirnov, A1 - I.G. Sprinkhuizen-Kuyper, A1 - N.I. Nikolaev, PY - 2006 KW - null VL - 0 JA - Data Mining Workshops, International Conference on ER -

E.N. Smirnov, Maastricht University, Netherlands

I.G. Sprinkhuizen-Kuyper, Maastricht University, Netherlands

N.I. Nikolaev, University of London, UK

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.86

Although version space support vector machines (VSSVMs) are a successful approach to reliable classification [6], they are restricted to separable data. This paper proposes generalized VSSVMs (GVSSVMs) applicable for separable and non-separable data. We show that GVSSVMs can outperform existing reliable-classification approaches.

Citation:

E.N. Smirnov, I.G. Sprinkhuizen-Kuyper, N.I. Nikolaev, "Generalizing Version Space Support Vector Machines for Non-Separable Data," icdmw, pp.744-748, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006

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