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Support vector classifier with hyperbolic tangent penalty function
Ist Teil von
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2000, Vol.6, p.3458-3461 vol.6
Ort / Verlag
IEEE
Erscheinungsjahr
2000
Quelle
IEL
Beschreibungen/Notizen
The support vector classifier is a new tool to solve classification problems, giving the classification boundary as a linear combination of the training samples. In non-separable problems with highly overlapped classes, the achieved classifiers are oversized. In this paper, we proposed to change the support vector classifier penalty function by an hyperbolic tangent one, obtaining as a result of the training phase a reduced support vector classifier with the same performance as the original one.