Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing

Crowdsourcing has emerged as an effective platform for labeling large amounts of data in a cost- and time-efficient manner. Most previous work has focused on designing an efficient algorithm to recover only the ground-truth labels of the data. In this paper, we consider multi-choice crowdsourcing ta...

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Hauptverfasser:	Jeong, Hyeonsu, Chung, Hye Won
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Human-Computer Interaction Computer Science - Information Theory Computer Science - Learning Mathematics - Information Theory Statistics - Machine Learning
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