Invariance priors for Bayesian feed-forward neural networks

DOI10.1016/j.neunet.2006.01.017zbMath1178.68470OpenAlexW2070512916WikidataQ51944833 ScholiaQ51944833MaRDI QIDQ858888

Volker Dose, Silvio Gori, Udo von Toussaint

Publication date: 11 January 2007

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11858/00-001M-0000-0027-0ED7-5

zbMATH Keywords

evidenceregularizationmodel selectionmultilayer perceptronpruningpriorBayesiantransformation invariance

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

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• Linear inversion by the method of maximum entropy
• Hyperplane Priors
• Bayesian analysis of a three-component hierarchical design model
• Prior Probabilities

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