Group-penalized feature selection and robust twin SVM classification via second-order cone programming
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.01.005
Abstract: Selecting the relevant factors in a particular domain is of utmost interest in the machine learning community. This paper concerns the feature selection process for twin support vector machine (TWSVM), a powerful classification method that… read more here.
Keywords: twin svm; feature selection; second order; selection ... See more keywords
Multiview Learning With Robust Double-Sided Twin SVM.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3088519
Abstract: Multiview learning (MVL), which enhances the learners' performance by coordinating complementarity and consistency among different views, has attracted much attention. The multiview generalized eigenvalue proximal support vector machine (MvGSVM) is a recently proposed effective binary… read more here.
Keywords: multiview; robust double; double sided; twin svm ... See more keywords