Label Samples Using TC-SVDD

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 278)

Abstract

In many fields, labeling samples is a time-consuming and costly work. This paper describes an automatically labeling samples method based on SVDD with transductive confidence (TC-SVDD). The new algorithm labeling samples automatically by lead transductive confidence idea into support vector data description. It gives the confidence lever about labeling result to improving the labeled samples quality. Experiment results on UCI data sets show the algorithm has advantages on label samples with high quality.

Keywords

Sample labeling TC-SVDD (Transductive Confidence-Support Vector Data Description) 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Department of Computer EngineeringNaval University of EngineeringWuhanChina

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