H.K.H. Lee, "A noninformative prior for neural networks", Machine Learning, vol. 50, pp. 197-212, 2003. Home/Search Document Details and Download
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Bayesian MLP Neural Networks - Review and Case Studies - Vehtari, Lampinen (2000) (Correct)
....to inference but often we do not have such information about the values of model parameters and then we have to resort to use (relatively) noninformative priors. This can be achieved by using many hierarchical levels in priors as described above or by using one level noninformative priors as in [14]. Even if we do not have information about actual values of model parameters we might have some structural information like ARD described above. Such structural information does not restrict the model but helps it to use information from data more e ciently as can be seen in the case problems. ....
Lee, H. K. H. A noninformative prior for neural networks. Tech. rep., Duke University (2000).
Bayesian Multioutput Feedforward Neural Network Comparison: A.. - Rossi, Vila (Correct)
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H.K.H. Lee, "A noninformative prior for neural networks", Machine Learning, vol. 50, pp. 197-212, 2003.
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