Inference of temporally varying Bayesian Networks.
Thomas ThorneMichael P. H. StumpfPublished in: Bioinform. (2012)
Keyphrases
- bayesian networks
- inference in bayesian networks
- probabilistic inference
- probabilistic reasoning
- exact inference
- bayesian network inference
- multiply sectioned bayesian networks
- probability distribution
- graphical models
- probabilistic modeling
- learning bayesian networks
- dynamic bayesian networks
- spatio temporal
- parameter learning
- variable elimination
- context specific independence
- evidential reasoning
- incomplete data
- junction tree
- posterior probability
- probabilistic model
- conditional probabilities
- clique tree
- conditional independence
- structure learning
- expert knowledge
- decision trees
- data sets
- hidden variables
- belief networks
- random variables
- bayesian belief networks
- approximate inference
- temporal information
- conditional probability tables
- naive bayes