On the Validity of Bayesian Neural Networks for Uncertainty Estimation.
John MitrosBrian Mac NameePublished in: AICS (2019)
Keyphrases
- neural network
- dempster shafer
- bayesian estimation
- decision theory
- fault diagnosis
- markov random field prior
- belief functions
- multilayer perceptron
- inherent uncertainty
- fuzzy logic
- pattern recognition
- neural nets
- artificial neural networks
- bayesian learning
- recurrent neural networks
- uncertain data
- estimation algorithm
- posterior distribution
- data sets
- bayesian decision
- image segmentation
- bayesian networks
- parametric models
- training process
- data driven
- density estimation
- neural network model
- incomplete information
- rough sets
- back propagation
- parameter estimation
- maximum likelihood