Multi-class classification using a signomial function
We propose two multi-class classification methods using a signomial function. Each of these methods directly constructs a multi-class classifier by solving a single optimization problem. Since the number of possible signomial terms is extremely large, we propose a column generation method that iteratively generates good signomial terms. Both of these methods obtain better or comparable classification accuracies than existing methods and also provide more sparse classifiers.
Year of publication: |
2015
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Authors: | Hwang, Kyoungmi ; Lee, Kyungsik ; Lee, Chungmok ; Park, Sungsoo |
Published in: |
Journal of the Operational Research Society. - Palgrave Macmillan, ISSN 0160-5682. - Vol. 66.2015, 3, p. 434-449
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Publisher: |
Palgrave Macmillan |
Saved in:
Online Resource
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