Open AccessRecovering True Classifier Performance in Positive-Unlabeled Learning
Author(s) -
Shantanu Jain,
Martha White,
Predrag Radivojac
Publication year - 2017
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v31i1.10937
Subject(s) - classifier (uml) , artificial intelligence , false positive paradox , receiver operating characteristic , pattern recognition (psychology) , computer science , labeled data , noisy data , machine learning , prior probability , mathematics , semi supervised learning , true positive rate , bayesian probability
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