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集成Logistic与SVM的二分类算法

谢玲 刘琼荪

计算机工程与应用2011,Vol.47Issue(29):149-150,157,3.
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

谢玲 1刘琼荪1

作者信息

  • 1. 重庆大学数学与统计学院,重庆400030
  • 折叠

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)

计算机工程与应用

OACSCDCSTPCD

1002-8331

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