Quality of Uncertainty Quantification for Bayesian Neural Network Inference.
Jiayu YaoWeiwei PanSoumya GhoshFinale Doshi-VelezPublished in: CoRR (2019)
Keyphrases
- neural network
- bayesian networks
- bayesian inference
- reasoning under uncertainty
- high quality
- dempster shafer
- higher quality
- inference process
- neural network model
- artificial neural networks
- decision theory
- uncertain data
- probabilistic reasoning
- radial basis function
- maximum likelihood
- probabilistic inference
- belief networks
- back propagation
- generative model
- bayesian learning
- bayesian model
- fuzzy logic
- learning algorithm