Two issues in using mixtures of polynomials for inference in hybrid Bayesian networks.
Prakash P. ShenoyPublished in: Int. J. Approx. Reason. (2012)
Keyphrases
- bayesian networks
- inference in bayesian networks
- probabilistic inference
- graphical models
- exact inference
- probabilistic reasoning
- multiply sectioned bayesian networks
- probability distribution
- dynamic bayesian networks
- bayesian network inference
- conditional probabilities
- probabilistic modeling
- structure learning
- parameter learning
- learning bayesian networks
- key issues
- probabilistic model
- junction tree
- conditional independence
- statistical relational learning
- mixtures of gaussians
- conditional probability tables
- variable elimination
- expert knowledge
- bayesian inference
- hidden variables
- markov networks
- low order
- bayesian belief networks
- clique tree
- structured prediction
- bayesian model
- non stationary