Evaluating Bayesian Networks by Sampling with Simplified Assumptions.
Saaid BaratyDan A. SimoviciPublished in: EGC (2012)
Keyphrases
- bayesian networks
- graphical models
- simplifying assumptions
- learning bayesian networks
- probability distribution
- conditional independence
- conditional probabilities
- probabilistic inference
- random sampling
- structure learning
- multiply sectioned bayesian networks
- independence assumption
- sampling algorithm
- probabilistic reasoning
- monte carlo
- sample size
- incomplete data
- markov networks
- expert knowledge
- parameter space
- probabilistic model
- active learning
- diagnostic reasoning
- reinforcement learning
- hypothesis tests
- knowledge base