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Autor:
Hauptvogel, Nick, Igel, Christian
Bayesian neural networks address epistemic uncertainty by learning a posterior distribution over model parameters. Sampling and weighting networks according to this posterior yields an ensemble model referred to as Bayes ensemble. Ensembles of neural
Externí odkaz:
http://arxiv.org/abs/2406.05469