Model-based Validation as Probabilistic Inference.
Harrison DeleckiAnthony CorsoMykel J. KochenderferPublished in: L4DC (2023)
Keyphrases
- probabilistic inference
- graphical models
- bayesian networks
- belief networks
- influence diagrams
- context specific independence
- efficient inference
- conditional probabilities
- message passing
- approximate inference
- weighted model counting
- probabilistic reasoning
- bayesian belief networks
- exact inference
- elimination algorithm
- bucket elimination
- machine learning
- supervised learning
- reinforcement learning