SlimShot: In-Database Probabilistic Inference for Knowledge Bases.
Eric GribkoffDan SuciuPublished in: Proc. VLDB Endow. (2016)
Keyphrases
- probabilistic inference
- knowledge base
- graphical models
- bayesian networks
- conditional probabilities
- probabilistic reasoning
- approximate inference
- message passing
- influence diagrams
- efficient inference
- context specific independence
- belief networks
- weighted model counting
- exact inference
- bayesian belief networks
- elimination algorithm
- knowledge representation
- variable elimination
- bucket elimination
- belief propagation
- data sets
- training set