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12

IWANN
2001
Springer

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Non-symmetric Support Vector Machines

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Non-symmetric Support Vector Machines

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A novel approach to calculate the generalization error of the support vector machines and a new support vector machine–nonsymmatic support vector machine–is proposed here. Our results are based upon the extreme value theory and both the mean and variance of the generalization error are exactly ontained.

Jianfeng Feng

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Added	30 Jul 2010
Updated	30 Jul 2010
Type	Conference
Year	2001
Where	IWANN
Authors	Jianfeng Feng

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