Structure Learning of Bayesian Networks by Hybrid Genetic Algorithms.
Pedro LarrañagaRoberto H. MurgaMikel PozaCindy M. H. KuijpersPublished in: AISTATS (1995)
Keyphrases
- structure learning
- hybrid genetic algorithm
- bayesian networks
- conditional independence
- learning bayesian networks
- graphical models
- parameter learning
- bayesian network classifiers
- markov logic networks
- quadratic assignment problem
- genetic algorithm
- probabilistic model
- parameter estimation
- continuous variables
- markov blanket
- bayesian network structures
- probability distribution
- genetic operators
- random variables
- posterior probability
- structure and parameter learning
- crossover operator
- markov networks
- improved algorithm
- transfer learning
- naive bayes
- probabilistic reasoning
- conditional probabilities
- reinforcement learning
- decision trees