Melinda Han Williams, Claudia Perlich, Brian Dalessandro, Foster J. Provost. Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truth. In Esin Saka, Dou Shen, Kuang-Chih Lee, Ying Li, editors, Proceedings of the Eighth International Workshop on Data Mining for Online Advertising, ADKDD 2014, August 24, 2014, New York City, New York, USA. pages 1-9, ACM, 2014. [doi]
Abstract is missing.