Generalizing Version Space Support Vector Machines for Non-Separable Data

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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.

Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Ni

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Data Mining | ICDM 2006 | Separable Data | Space Support Vector | Successful Approach |

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Added	11 Jun 2010
Updated	11 Jun 2010
Type	Conference
Year	2006
Where	ICDM
Authors	Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Nikolay I. Nikolaev

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Generalizing Version Space Support Vector Machines for Non-Separable Data

Data Mining | ICDM 2006 | Separable Data | Space Support Vector | Successful Approach |

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