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Neural networks and Bayesian estimators
1991Several recent contributions have suggested to consider neural networks, obtained through supervized learning, as Bayesian estimators. This is like placing oneself in the context of the decision theory. This helps propose a definition of a PAB algorithm, thus generalizing a definition proposed by Valiant in his learning theory.
Bochereau, L. +2 more
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Bayesian approach for neural networks—review and case studies
Neural Networks, 2001Jouko Lampinen, Aki Vehtari
exaly
On the relative expressiveness of Bayesian and neural networks
International Journal of Approximate Reasoning, 2019Adnan Darwiche
exaly
Estimating uncertainty of streamflow simulation using Bayesian neural networks
Water Resources Research, 2009Xuesong Zhang +2 more
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Nonlinear time series forecasting with Bayesian neural networks
Expert Systems With Applications, 2014exaly
Bayesian updating with subset simulation using artificial neural networks
Computer Methods in Applied Mechanics and Engineering, 2017Dimitris G Giovanis +2 more
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