Some practical issues in inference in hybrid Bayesian networks with deterministic conditionals.
Prakash P. ShenoyRafael RumíAntonio SalmerónPublished in: ISDA (2011)
Keyphrases
- practical issues
- bayesian networks
- inference in bayesian networks
- probabilistic inference
- probabilistic reasoning
- exact inference
- graphical models
- genetic algorithm and simulated annealing
- multiply sectioned bayesian networks
- dynamic bayesian networks
- bayesian network inference
- learning bayesian networks
- incomplete data
- nonmonotonic inference
- structure learning
- probabilistic model
- probability distribution
- black box
- conditional independence
- parameter learning
- junction tree
- clique tree
- evidential reasoning
- conditional probabilities
- markov networks
- random variables
- probabilistic modeling
- conditional probability tables
- approximate inference
- linear gaussian
- bayesian inference
- expert knowledge
- inference process
- decision theoretic
- inference mechanism
- variable elimination
- hidden variables
- decomposable negation normal form
- neural network