'In-Between' Uncertainty in Bayesian Neural Networks.
Andrew Y. K. FoongYingzhen LiJosé Miguel Hernández-LobatoRichard E. TurnerPublished in: CoRR (2019)
Keyphrases
- neural network
- decision theory
- dempster shafer
- pattern recognition
- uncertain data
- artificial neural networks
- multi layer
- neural nets
- genetic algorithm
- maximum likelihood
- possibility theory
- bayesian inference
- multilayer perceptron
- bayesian learning
- bayesian models
- activation function
- uncertain information
- inherent uncertainty
- bayesian decision
- fault diagnosis
- fuzzy logic
- bayesian networks
- knowledge base
- recurrent neural networks
- posterior distribution
- training process
- gaussian processes
- incomplete information
- utility function
- expected utility
- back propagation
- robust optimization
- real time
- database