New Method for Automatically Labeling Samples Based on Support Vector Data Description

摘要：

　　This paper proposes a new algorithm based on Support Vector Data Description which labeling samples automatically by lead transductive confidence.The proposed algorithm gives the confidence lever about labeling result to improving the labeled samples quality.Experiment on UCI data sets shows the new algorithm has advantages on label samples with high quality.

关键词： Sample labeling Support Vector Data Description Transductive Confidence

作者: Zhi-Hua GAO Ke-Rong BEN

作者单位: Department of Computer Engineering,Naval University of Engineering,Wuhan 430033,China

会议类型: 国内会议

会议名称: 2014年国际计算机科学与软件工程学术会议

会议地点: 杭州

会议语种:英文

页码: 1-5

在线出版日期: 2014-10-18（万方平台首次上网日期，不代表论文的发表时间）