Parallelizing Probabilistic Inference: Some Early Explorations
Bruce D'AmbrosioTony FountainZhaoyu LiPublished in: CoRR (2013)
Keyphrases
- probabilistic inference
- graphical models
- influence diagrams
- context specific independence
- approximate inference
- bayesian networks
- probabilistic reasoning
- message passing
- weighted model counting
- efficient inference
- conditional probabilities
- belief networks
- variable elimination
- elimination algorithm
- parallel processing
- exact inference
- machine learning
- neural network
- belief propagation
- random variables
- bayesian belief networks
- domain knowledge
- feature vectors
- search space