Uncertainty propagation for dropout-based Bayesian neural networks.
Yuki MaeWataru KumagaiTakafumi KanamoriPublished in: Neural Networks (2021)
Keyphrases
- neural network
- decision theory
- dempster shafer
- pattern recognition
- back propagation
- bayesian networks
- artificial neural networks
- fuzzy logic
- feed forward
- neural network model
- uncertain data
- decision making
- recurrent neural networks
- bayesian inference
- multi layer
- probability theory
- neural network is trained
- fault diagnosis
- self organizing maps
- data sets
- conditional probabilities
- maximum likelihood
- decision makers
- neural nets
- image segmentation
- possibility theory
- cellular neural networks