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How Many Workers to Ask? Adaptive Exploration for Collecting High Quality Labels
In this paper we investigate how to devise better stopping rules given such quality scores.
A Data Management Approach for Dataset Selection Using Human Computation
As the number of applications that use machine learning algorithms increases, the need for labeled data useful for training such algorithms intensifies.
Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem
This model is related to, but technically different from the well-known multi-armed bandit problem.
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