Improved uncertainty quantification for neural networks with Bayesian last layer.
Felix FiedlerSergio LuciaPublished in: CoRR (2023)
Keyphrases
- neural network
- multi layer
- decision theory
- pattern recognition
- dempster shafer
- bayesian decision
- posterior distribution
- feed forward
- single layer
- back propagation
- fuzzy logic
- artificial neural networks
- genetic algorithm
- application layer
- possibility theory
- inherent uncertainty
- neural nets
- rbf network
- training process
- fuzzy systems
- uncertain data
- conditional probabilities
- radial basis function
- data driven
- training data
- machine learning