Uncertainty in Neural Networks: Bayesian Ensembling.
Tim PearceMohamed ZakiAlexandra BrintrupAndy NeelyPublished in: CoRR (2018)
Keyphrases
- neural network
- decision theory
- dempster shafer
- artificial neural networks
- uncertain data
- fuzzy systems
- pattern recognition
- maximum likelihood
- belief functions
- bayesian learning
- rule extraction
- genetic algorithm
- expected utility
- self organizing maps
- bayesian estimation
- recurrent neural networks
- neural nets
- multi layer
- probability theory
- maximum entropy
- training process
- cellular neural networks
- bayesian inference
- predictive accuracy
- conditional probabilities
- back propagation
- data driven
- decision makers
- fuzzy logic
- decision making
- artificial intelligence
- learning algorithm
- machine learning