Bayesian learning for recurrent neural networks

DOI10.1016/S0925-2312(00)00331-3zbMATH Open1003.68634OpenAlexW1978782511MaRDI QIDQ1852075

Jean-Pierre Asselin de Beauville, Romuald Boné, Michel Crucianu

Publication date: 9 January 2003

Published in: Neurocomputing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0925-2312(00)00331-3

zbMATH Keywords

Bayesian learningpriorsrecurrent networkssequence processing

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)

Related Items (4)

Recurrent Neural Networks Training Using Derivative Free Nonlinear Bayesian Filters ⋮ Recognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural net\-works ⋮ Recurrent representation for stationary Gaussian processes ⋮ Bayesian distillation of deep learning models

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