Bayesian aggregation of categorical distributions with applications in crowdsourcing
A key problem in crowdsourcing is the aggregation of judgments of proportions. For example, workers might be presented with a news article or an image, and be asked to identify the proportion of each topic, sentiment, object, or colour present in it. These varying judgments then need to be aggregate...
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| Format: | Conference item |
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AAAI Press / International Joint Conferences on Artificial Intelligence
2017
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