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Aggregating Binary Judgments Ranked by Accuracy
2021
AAAI Conference on Artificial Intelligence
We revisit the fundamental problem of predicting a binary ground truth based on independent binary judgments provided by experts. When the accuracy levels of the experts are known, the problem can be solved easily through maximum likelihood estimation. We consider, however, a setting in which we are given only a ranking of the experts by their accuracy. Motivated by the worst-case approach to handle the missing information, we consider three objective functions and design efficient algorithms
dblp:conf/aaai/0002KPP0021
fatcat:aetryvvdrrdw3n45r5p43h5ho4