Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty.
Jishnu MukhotiAndreas KirschJoost van AmersfoortPhilip H. S. TorrYarin GalPublished in: CoRR (2021)
Keyphrases
- neural network
- pattern recognition
- artificial neural networks
- back propagation
- fuzzy logic
- inductive learning
- rule extraction
- fuzzy systems
- associative memory
- neural network model
- uncertain data
- machine learning
- inherent uncertainty
- multilayer perceptron
- probability distribution
- self organizing maps
- fault diagnosis
- network architecture
- belief functions
- rule learning
- possibility theory
- uncertain information
- cellular neural networks
- inductive reasoning
- genetic algorithm
- deductive reasoning