Integrated binary-class classification algorithm based on Logistic and SVM

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (29): 149-150.

• 数据库、信号与信息处理 • Previous Articles Next Articles

Integrated binary-class classification algorithm based on Logistic and SVM

XIE Ling，LIU Qiongsun

College of Mathematics and Statistics，Chongqing University，Chongqing 400030，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-10-11 Published:2011-10-11

集成Logistic与SVM的二分类算法

谢玲，刘琼荪

重庆大学数学与统计学院，重庆 400030

Abstract

Abstract: By probability values，the output of Logistic regression can be divided into four continuous intervals，and the frequency 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.

Key words: Logistic regression, Support Vector Machine（SVM）, binary-class, integration

摘要： 对Logistic回归的输出结果通过概率分析划分为四个连续的区间，计算各个区间内训练样本的正确分类频率，由此将Logistic回归与支持向量机对样本的输出结果进行比较，构造了一种集成判别规则的二分类算法。实证分析表明提出的集成算法具有较好的分类效果。

关键词: Logistic回归, 支持向量机, 二分类, 集成

XIE Ling，LIU Qiongsun. Integrated binary-class classification algorithm based on Logistic and SVM[J]. Computer Engineering and Applications, 2011, 47(29): 149-150.

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.

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Integrated binary-class classification algorithm based on Logistic and SVM

集成Logistic与SVM的二分类算法

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