Determination of Variables for a Bayesian Network and the Most Precious One.
Esma Nur CiniciogluTaylan YenilmezPublished in: IPMU (1) (2016)
Keyphrases
- bayesian networks
- causal relationships
- conditional probabilities
- continuous variables
- bayesian network structure
- structure learning algorithm
- random variables
- markov blanket
- variable elimination
- hidden variables
- bayesian network structures
- variable selection
- probabilistic reasoning
- conditional independence
- learning bayesian networks
- probabilistic inference
- diagnostic reasoning
- conditional independencies
- relevant variables
- graphical models
- structure learning
- probabilistic model
- incomplete data
- artificial neural networks
- bayesian network inference
- inference in bayesian networks
- directed acyclic graph
- structural learning
- joint probability distribution
- conditional distributions
- approximate inference
- observable variables