Support vector classifier with hyperbolic tangent penalty function

Authors:
F. Perez-Cruz;A. Navia-Vazquez;P. L. Alarcon-Diana;A. Artes-Rodriguez
Affiliations:
Escuela Politecnica, Alcala Univ., Madrid, Spain;-;-;-
Venue:
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06
Year:
2000

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Abstract

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.