De-Causalizing NAT-Modeled Bayesian Networks for Inference Efficiency.
Yang XiangDylan LokerPublished in: Canadian Conference on AI (2018)
Keyphrases
- bayesian networks
- inference in bayesian networks
- probabilistic reasoning
- probabilistic inference
- exact inference
- multiply sectioned bayesian networks
- dynamic bayesian networks
- structure learning
- bayesian network inference
- probability distribution
- computational complexity
- learning bayesian networks
- parameter learning
- probabilistic model
- belief networks
- hidden variables
- posterior probability
- computational efficiency
- probabilistic modeling
- graphical models
- expert knowledge
- continuous variables
- conditional probabilities
- bayesian model
- naive bayes
- junction tree
- model selection
- special case