Estimating the class prior and posterior from noisy positives and unlabeled data

Shantanu Jain, Martha White, Predrag Radivojac. Estimating the class prior and posterior from noisy positives and unlabeled data. In Daniel D. Lee, Masashi Sugiyama, Ulrike V. Luxburg, Isabelle Guyon, Roman Garnett, editors, Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain. pages 2685-2693, 2016. [doi]

@inproceedings{JainWR16,
  title = {Estimating the class prior and posterior from noisy positives and unlabeled data},
  author = {Shantanu Jain and Martha White and Predrag Radivojac},
  year = {2016},
  url = {http://papers.nips.cc/paper/6168-estimating-the-class-prior-and-posterior-from-noisy-positives-and-unlabeled-data},
  researchr = {https://researchr.org/publication/JainWR16},
  cites = {0},
  citedby = {0},
  pages = {2685-2693},
  booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain},
  editor = {Daniel D. Lee and Masashi Sugiyama and Ulrike V. Luxburg and Isabelle Guyon and Roman Garnett},
}