dc.contributor.authorLin, Dongyun
dc.contributor.authorSun, Lei
dc.contributor.authorToh, Kar-Ann
dc.contributor.authorZhang, Jing Bo
dc.contributor.authorLin, Zhiping
dc.identifier.citationLin, D., Sun, L., Toh, K.-A., Zhang, J. B., & Lin, Z. (2017). Twin SVM with a reject option through ROC curve. Journal of the Franklin Institute, 355(4), 1710-1732.en_US
dc.description.abstractThis paper proposes a new method which embeds a reject option in twin support vector machine (RO-TWSVM) through the Receiver Operating Characteristic (ROC) curve for binary classification. The proposed RO-TWSVM enhances the classification robustness through inclusion of an effective rejection rule for potentially misclassified samples. The method is formulated based on a cost-sensitive framework which follows the principle of minimization of the expected cost of classification. Extensive experiments are conducted on synthetic and real-world data sets to compare the proposed RO-TWSVM with the original TWSVM without a reject option (TWSVM-without-RO) and the existing SVM with a reject option (RO-SVM). The experimental results demonstrate that our RO-TWSVM significantly outperforms TWSVM-without-RO, and in general, performs better than RO-SVM.en_US
dc.format.extent25 p.en_US
dc.relation.ispartofseriesJournal of the Franklin Instituteen_US
dc.rights© 2017 The Franklin Institute (published by Elsevier). This is the author created version of a work that has been peer reviewed and accepted for publication in Journal of the Franklin Institute, published by Elsevier Ltd. on behalf of The Franklin Institute. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document.  The published version is available at: [http://dx.doi.org/10.1016/j.jfranklin.2017.05.003].en_US
dc.subjectROC Curvesen_US
dc.subjectTwin SVMen_US
dc.titleTwin SVM with a reject option through ROC curveen_US
dc.typeJournal Article
dc.contributor.researchNanyang Environment and Water Research Instituteen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.versionAccepted versionen_US

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