An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty.
Ethan AncellChristopher H. BennettBert J. DebusschereSapan AgarwalPark HaysT. Patrick XiaoPublished in: CoRR (2022)
Keyphrases
- neural network
- decision theory
- artificial neural networks
- dempster shafer
- uncertain data
- random variables
- prior distribution
- pattern recognition
- bayesian networks
- spatial distribution
- fuzzy logic
- back propagation
- self organizing maps
- fuzzy neural network
- neural nets
- bp neural network
- neural network is trained
- neural network model
- genetic algorithm
- prediction model
- recurrent neural networks
- multilayer perceptron
- bayesian inference
- posterior distribution
- conditional probabilities
- fault diagnosis
- power law
- bayesian estimation
- knn
- input pattern
- learning vector quantization
- probability distribution
- fuzzy artmap