Positive-Unlabeled Learning with Non-Negative Risk Estimator

Ryuichi Kiryo, Gang Niu, Marthinus C. du Plessis +1

From only positive (P) and unlabeled (U) data, a binary classifier could be trained with PU learning, in which the state of the art is unbiased PU learning. However, if its model i…