Uncertain Evidence in Probabilistic Models and Stochastic Simulators.
Andreas MunkAlexander MeadFrank WoodPublished in: CoRR (2022)
Keyphrases
- probabilistic model
- graphical models
- generative model
- latent variables
- empirical evidence
- bayesian networks
- hidden variables
- conditional random fields
- probabilistic modeling
- bayesian inference
- conditional probabilities
- decision making
- data sets
- stochastic optimization
- evidential reasoning
- language model
- higher order
- dempster shafer theory
- stochastic nature
- stochastic models
- stochastic programming
- uncertain databases
- robust stability
- uncertain information
- stochastic process
- belief functions
- language modeling
- topic models
- information retrieval systems
- reinforcement learning
- neural network