Generalized Pinball Loss SVMs


Generalized Pinball Loss SVMs is a scholarly work, published in 2018 in ''Neurocomputing''. The main subjects of the publication include Multi-label classification, classifier, Ranking SVM, artificial intelligence, noise, computer science, facial recognition system, artificial neural network, support vector machine, benchmark, machine learning, generalization, pattern recognition, and algorithm. Taking motivation from these developments, authors propose a modified (ϵ1, ϵ2)-insensitive zone Pin-SVM ((ϵ1, ϵ2)-Mod-Pin-SVM) model in which the asymmetric spread of insensitive zone is optimized and therefore it is data-driven.
DOI 10.1016/J.NEUCOM.2018.08....