Generative Models for Learning from Crowds

June 13, 2017 Β· Declared Dead Β· + Add venue

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Authors Chi Hong arXiv ID 1706.03930 Category cs.AI: Artificial Intelligence Cross-listed cs.HC, cs.LG Citations 0 Last Checked 4 months ago
Abstract
In this paper, we propose generative probabilistic models for label aggregation. We use Gibbs sampling and a novel variational inference algorithm to perform the posterior inference. Empirical results show that our methods consistently outperform state-of-the-art methods.
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