NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks.
Nikita KotelevskiiAleksandr ArtemenkovKirill FedyaninFedor NoskovAlexander FishkovAleksandr PetiushkoMaxim PanovPublished in: CoRR (2022)
Keyphrases
- neural network
- artificial neural networks
- pattern recognition
- back propagation
- genetic algorithm
- uncertain data
- data driven
- multilayer perceptron
- incomplete information
- bayesian modeling
- inherent uncertainty
- multi layer
- fuzzy logic
- neural network model
- self organizing maps
- black box
- bayesian networks
- probability theory
- rule extraction
- randomized algorithms
- learning algorithm
- machine learning