3 papers
cs.LG2019
Single Class Universum-SVM
Sauptik Dhar, Vladimir Cherkassky
This paper extends the idea of Universum learning [1, 2] to single-class learning problems. We propose Single Class Universum-SVM setting that incorporates a priori knowledge (in t…
cs.LG2018
Multiclass Universum SVM
Sauptik Dhar, Vladimir Cherkassky, Mohak Shah
We introduce Universum learning for multiclass problems and propose a novel formulation for multiclass universum SVM (MU-SVM). We also propose an analytic span bound for model sele…
cs.LG2016
Universum Learning for SVM Regression
Sauptik Dhar, Vladimir Cherkassky
This paper extends the idea of Universum learning [18, 19] to regression problems. We propose new Universum-SVM formulation for regression problems that incorporates a priori knowl…