Uncertainty in Neural Networks: Approximately Bayesian Ensembling.
Tim PearceFelix LeibfriedAlexandra BrintrupPublished in: AISTATS (2020)
Keyphrases
- neural network
- decision theory
- dempster shafer
- pattern recognition
- artificial neural networks
- data driven
- predictive accuracy
- bayesian networks
- uncertain data
- back propagation
- self organizing maps
- multilayer perceptron
- maximum entropy
- classifier ensemble
- fuzzy systems
- artificial intelligence
- expected utility
- bayesian inference
- probability theory
- incomplete information
- neural network model
- maximum likelihood
- bayesian decision
- posterior probability
- bayesian analysis
- inherent uncertainty
- belief functions
- radial basis function
- utility function
- sufficient conditions
- multi class
- genetic algorithm