Support Vector Machine Polyhedral Separability in Semisupervised Learning

被引：0
|
作者：
Annabella Astorino
Antonio Fuduli
机构：
[1] Università della Calabria,Istituto di Calcolo e Reti ad Alte Prestazioni
[2] Università della Calabria,C.N.R. c/o D.E.I.S.
来源：
Journal of Optimization Theory and Applications | 2015年 / 164卷
关键词：
SVM; Semisupervised classification; Transductive SVM; Polyhedral separability;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We introduce separation margin maximization, a characteristic of the Support Vector Machine technique, into the approach to binary classification based on polyhedral separability and we adopt a semisupervised classification framework.
引用
收藏
页码：1039 / 1050
页数：11
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