On the Validity of Bayesian Neural Networks for Uncertainty Estimation.
John MitrosBrian Mac NameePublished in: CoRR (2019)
Keyphrases
- neural network
- decision theory
- bayesian estimation
- dempster shafer
- pattern recognition
- genetic algorithm
- bayesian decision
- fuzzy logic
- accurate estimation
- posterior probability
- markov random field prior
- rule extraction
- network architecture
- posterior distribution
- uncertain data
- multilayer perceptron
- back propagation
- parameter estimation
- artificial neural networks
- probabilistic model
- inherent uncertainty
- bayesian analysis
- probability distribution
- uncertain information
- maximum likelihood
- statistical inference
- estimation accuracy
- self organizing maps
- robust estimation
- incomplete information
- fuzzy systems
- conditional probabilities