2020
Positive Unlabeled Learning with Class-prior Approximation
IJCAI 2020poster
The positive unlabeled (PU) learning aims to train a binary classifier from a set of positive labeled samples and other unlabeled samples. Much research has been done on this special branch of weakly supervised classification problems. Since only part of the positive class is labeled, the classical…