Abstract
Support Vector Machines are now thought as a powerful method for solving pattern recognition problems. In general, SVMs tend to make overlearning. In order to overcome this difficulty, the notion of soft margin is introduced. In this event, it is difficult to decide the weight for slack variables reflecting soft margin. In this paper, Soft margin method is extended to Multi Objective Linear Programming(MOLP). To solve MOLP, Goal Programming method is used.
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© 2003 Springer-Verlag Berlin Heidelberg
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Asada, T., Nakayama, H. (2003). Support Vector Machines using Multi Objective Programming. In: Multi-Objective Programming and Goal Programming. Advances in Soft Computing, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36510-5_10
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DOI: https://doi.org/10.1007/978-3-540-36510-5_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00653-4
Online ISBN: 978-3-540-36510-5
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