Efficient Symbolic Integration for Probabilistic Inference.
Samuel KolbMartin MladenovScott SannerVaishak BelleKristian KerstingPublished in: IJCAI (2018)
Keyphrases
- probabilistic inference
- graphical models
- bayesian networks
- approximate inference
- context specific independence
- message passing
- weighted model counting
- efficient inference
- influence diagrams
- belief networks
- bayesian belief networks
- probabilistic reasoning
- bucket elimination
- conditional probabilities
- training data
- variable elimination
- data sets
- belief propagation
- decision problems
- random variables
- learning algorithm
- machine learning