Multicategory large margin classification with unequal costs

被引:0
|
作者
Zheng, Qingle [1 ]
Che, Yuezhang [1 ]
机构
[1] Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai 200433, Peoples R China
关键词
Bayes rule; Generalization error; Misclassification costs; Supervised learning; SELECTION; LIKELIHOOD;
D O I
10.1080/03610918.2019.1687717
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, we propose a multicategory large margin classification with unequal costs. In addition to extending the standard multicategory SVM to the case of unequal costs, we also develop an unequal costs classification for psi-loss and propose an efficient algorithm for computation. Besides commonly used L-2 penalty, the adaptive LASSO is also examined to remove irrelevant variables. Theoretically, we derive the Bayes rules under the generalized cost and reduce the infinite sum-to-zero constraint to a finite constraint. Numerically, we demonstrate the good performance of our methodology on two simulated examples and one real-life dataset.
引用
收藏
页码:1801 / 1813
页数:13
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