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Likelihood-free Bayesian analysis of neural network models

โœ Scribed by Brandon M Turner, Per B Sederberg, James L McClelland


Book ID
120677883
Publisher
BioMed Central
Year
2013
Tongue
English
Weight
80 KB
Volume
14
Category
Article
ISSN
1471-2202

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Neural networks are considered by many to be very promising tools for classification and prediction. The flexibility of the neural network models often result in over-fit. Shrinking the parameters using a penalized likelihood is often used in order to overcome such over-fit. In this paper we extend