Model-based Validation as Probabilistic Inference.
Harrison DeleckiAnthony CorsoMykel J. KochenderferPublished in: CoRR (2023)
Keyphrases
- probabilistic inference
- graphical models
- bayesian networks
- conditional probabilities
- context specific independence
- approximate inference
- message passing
- bayesian belief networks
- efficient inference
- weighted model counting
- belief networks
- influence diagrams
- junction tree
- probabilistic reasoning
- exact inference
- variable elimination
- bucket elimination
- image processing
- inference in bayesian networks
- multi view
- elimination algorithm
- feature extraction
- machine learning