Learning from Positive and Unlabeled Data with Augmented Classes

Zhongnian Li, Liutao Yang, Zhongchen Ma +3

Positive Unlabeled (PU) learning aims to learn a binary classifier from only positive and unlabeled data, which is utilized in many real-world scenarios. However, existing PU learn…