Learning Classifiers on Positive and Unlabeled Data with Policy Gradient

1 code implementation • 15 Oct 2019 • Tianyu Li, Chien-Chih Wang, Yukun Ma, Patricia Ortal, Qifang Zhao, Bjorn Stenger, Yu Hirate

Existing algorithms aiming to learn a binary classifier from positive (P) and unlabeled (U) data generally require estimating the class prior or label noises ahead of building a classification model.

General Classification