Learning from crowds with variational Gaussian processes.
Pattern Recognition(2019)
摘要
•Gaussian Processes are used to address the crowdsourcing problem.•Variational inference is used for the first time to train the model.•Annotations provided for test instances can be integrated into the prediction.•We provide an experimental comparison with state-of-the-art crowdsourcing methods.•The proposed method outperforms all state-of-the-art methods it was compared against.
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关键词
Crowdsourcing,Classification,Gaussian processes,Bayesian modeling,Variational inference
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