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cs.LG2019
Scalable Bayesian Preference Learning for Crowds
Edwin Simpson, Iryna Gurevych
We propose a scalable Bayesian preference learning method for jointly predicting the preferences of individuals as well as the consensus of a crowd from pairwise labels. Peoples' o…
cs.LG2019
Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources
Edwin Simpson, Steven Reece, Stephen J. Roberts
Unstructured data from diverse sources, such as social media and aerial imagery, can provide valuable up-to-date information for intelligent situation assessment. Mining these diff…