Multi-class classification using a signomial function

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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.
Publisher
PALGRAVE MACMILLAN LTD
Issue Date
2015-03
Language
English
Article Type
Article
Citation

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, v.66, no.3, pp.434 - 449

ISSN
0160-5682
DOI
10.1057/jors.2013.180
URI
http://hdl.handle.net/10203/195977
Appears in Collection
IE-Journal Papers(저널논문)
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