Keyphrases
- bayesian networks
- learning bayesian networks
- sample size
- structure learning
- neural network
- random sampling
- probabilistic inference
- conditional probabilities
- parameter space
- sampling algorithm
- conditional independence
- parallel implementation
- shared memory
- monte carlo
- random variables
- distributed memory
- sampling methods
- approximate inference
- multi core processors
- inference in bayesian networks
- sampling strategies
- parameter learning
- multiply sectioned bayesian networks
- massively parallel
- probabilistic reasoning
- parallel computing
- expert knowledge
- graphical models
- probability distribution
- evolutionary algorithm
- database systems
- genetic algorithm
- machine learning