Bayesian approach for neural networks--review and case studies

doi:10.1016/S0893-6080(00)00098-8

Paper

Bayesian approach for neural networks--review and case studies

Published Apr 1, 2001 · J. Lampinen, Aki Vehtari

Neural networks : the official journal of the International Neural Network Society

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351

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11

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Abstract

Abstract removed due to Elsevier request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

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Study Snapshot

Key takeawayThe Bayesian approach for neural network learning allows for more generalization and less restrictive priors, making it more effective in regression, classification, and inverse problems.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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