Alternative Strategies in Learning Nonlinear Soft Margin Support Vector Machines
The aims of the paper are multifold, to propose a new method to determine a suitable value of the bias corresponding to the soft margin SVM classifier and to experimentally evaluate the quality of the found value against one of the standard expression of the bias computed in terms of the support vec...
Main Authors: | Catalina COCIANU, Luminita STATE, Cristian USCATU |
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Format: | Article |
Language: | English |
Published: |
Inforec Association
2014-01-01
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Series: | Informatică economică |
Subjects: | |
Online Access: | http://www.revistaie.ase.ro/content/70/05%20-%20Cocianu,%20State,%20Uscatu.pdf |
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