Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference.
Mohammad Hossein ShakerEyke HüllermeierPublished in: CoRR (2021)
Keyphrases
- model averaging
- bayesian networks
- credal networks
- bayesian inference
- reasoning under uncertainty
- inference process
- bayesian model
- decision theory
- posterior distribution
- dempster shafer
- statistical inference
- maximum entropy
- training set
- conditional probabilities
- maximum likelihood
- bayesian models
- learning algorithm
- neural network
- ensemble learning
- belief nets
- training data
- posterior probability
- probabilistic inference
- belief networks
- rough sets
- uncertain data
- markov chain monte carlo
- decision theoretic
- bayesian methods
- ensemble methods
- benchmark datasets
- probabilistic reasoning
- bayesian analysis
- bayesian network structures
- belief functions
- gaussian process