Classification from Positive, Unlabeled and Biased Negative Data

Yu-Guan Hsieh, Gang Niu, Masashi Sugiyama

Abstract: In binary classification, there are situations where negative (N) data are too diverse to be fully labeled and we often resort to positive-unlabeled (PU) learning in these scenarios. However, colle...