1 code implementation • NeurIPS 2020 • Hui Chen, Fangqing Liu, Yin Wang, Liyue Zhao, Hao Wu
Learning binary classifiers only from positive and unlabeled (PU) data is an important and challenging task in many real-world applications, including web text classification, disease gene identification and fraud detection, where negative samples are difficult to verify experimentally.
no code implementations • 16 Jan 2014 • Liyue Zhao, Yu Zhang, Gita Sukthankar
Crowdsourcing platforms offer a practical solution to the problem of affordably annotating large datasets for training supervised classifiers.