计算机工程与应用2011,Vol.47Issue(29):149-150,157,3.DOI:10.3778/j.issn.1002-8331.2011.29.042
集成Logistic与SVM的二分类算法
Integrated binary-class classification algorithm based on Logistic and SVM
摘要
Abstract
By probability values,the output of Logistic regression can be divided into four continuous intervals,and the fre quency of classification in each internal can be calculated.Based on Logistic regression and Support Vector Machine (SVM), an integrated binary-class classification algorithm is proposed.The validity of BLR-SVM is illustrated by numerical results on several UCI datasets.关键词
Logistic回归/支持向量机/二分类/集成Key words
Logistic regression/Support Vector Machine(SVM)/binary-class/integration分类
信息技术与安全科学引用本文复制引用
谢玲,刘琼荪..集成Logistic与SVM的二分类算法[J].计算机工程与应用,2011,47(29):149-150,157,3.基金项目
中央高校基本科研业务费资助(No.CDJXS10100026). (No.CDJXS10100026)