Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data

Tomoya Sakai, Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama

Abstract: Most of the semi-supervised classification methods developed so far use unlabeled data for regularization purposes under particular distributional assumptions such as the cluster assumption. In con...