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On the Calibration of Crowdsourcing Aggregators

Singer, Gabriel et al.
arXiv (All) · Papers
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machine-learning
Calibration has been extensively studied for classifiers, but remains largely unexplored for crowdsourcing aggregation methods, which are increasingly used for making probabilistic decisions. To the best of our knowledge, we provide the first theoretical and empirical study of calibration in label a
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