Crowdsourcing aggregation with deep Bayesian learning
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DOI: 10.1007/s11432-020-3118-7
Abstract: In this study, we consider a crowdsourcing classification problem in which labeling information from crowds is aggregated to infer latent true labels. We propose a fully Bayesian deep generative crowdsourcing model (BayesDGC), which combines the… read more here.
Keywords: deep bayesian; crowdsourcing aggregation; latent true; bayesian learning ... See more keywords