A Fast Hill-Climbing Algorithm for Bayesian Networks Structure Learning.
José A. GámezJuan L. MateoJosé Miguel PuertaPublished in: ECSQARU (2007)
Keyphrases
- structure learning
- hill climbing algorithm
- bayesian networks
- learning bayesian networks
- conditional independence
- hill climbing
- hybrid evolutionary
- parameter learning
- graphical models
- bayesian network classifiers
- probability distribution
- probabilistic model
- parameter estimation
- markov logic networks
- random variables
- bayesian network structures
- markov blanket
- conditional probabilities
- probabilistic reasoning
- incomplete data
- structure learning algorithm
- hidden variables
- posterior probability
- transfer learning
- approximate inference
- search space
- markov networks
- continuous variables
- network structure
- metaheuristic
- semi supervised learning
- graph cuts
- evolutionary search
- least squares
- lower bound
- search algorithm