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

28 June 2016

Papers citing "Estimating the class prior and posterior from noisy positives and unlabeled data"

11 / 11 papers shown

Title
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka 68 1 0 29 May 2024
Recovering True Classifier Performance in Positive-Unlabeled Learning Shantanu Jain Martha White P. Radivojac 55 46 0 02 Feb 2017
Mixture Proportion Estimation via Kernel Embedding of Distributions H. G. Ramaswamy Clayton Scott Ambuj Tewari 50 198 0 08 Mar 2016
A Mutual Contamination Analysis of Mixed Membership and Partial Label Models Julian Katz-Samuels Clayton Scott 41 3 0 19 Feb 2016
Nonparametric semi-supervised learning of class proportions Shantanu Jain Martha White M. Trosset P. Radivojac 40 59 0 08 Jan 2016
Class Proportion Estimation with Application to Multiclass Anomaly Rejection Tyler Sanderson Clayton Scott 46 47 0 21 Jun 2013
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising Gilles Blanchard Marek Flaska G. Handy Sara Pozzi Clayton Scott NoLa 83 243 0 05 Mar 2013
Obtaining Calibrated Probabilities from Boosting Alexandru Niculescu-Mizil R. Caruana 51 200 0 04 Jul 2012
Noise Tolerance under Risk Minimization Naresh Manwani S. M. I. P. S. Sastry NoLa 148 273 0 24 Sep 2011
Composite Binary Losses Mark D. Reid Robert C. Williamson 133 223 0 17 Dec 2009
Sample Selection Bias Correction Theory Corinna Cortes M. Mohri Michael Riley Afshin Rostamizadeh 98 346 0 19 May 2008