Multi-class classification using a signomial function

被引：2

作者：

Hwang, Kyoungmi ^{[1
]}

Lee, Kyungsik ^{[2
,3
]}

Lee, Chungmok ^{[4
]}

Park, Sungsoo ^{[1
]}

机构：

[1] Korea Adv Inst Sci & Technol, Taejon 305701, South Korea

[2] Seoul Natl Univ, Seoul 151742, South Korea

[3] Hankuk Univ Foreign Studies, Yongin, South Korea

[4] IBM Res Ireland, Dublin, Ireland

来源：

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY | 2015年 / 66卷 / 03期

基金：

新加坡国家研究基金会;

关键词：

multi-class classification; signomial function; sparse classifier; column generation algorithm; SUPPORT VECTOR MACHINES; OPTIMAL CRITERION WEIGHTS; VARIABLE SELECTION;

D O I：

10.1057/jors.2013.180

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

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.

引用

页码：434 / 449

页数：16

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