Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters.
Pedro LarrañagaMikel PozaYosu YurramendiRoberto H. MurgaCindy M. H. KuijpersPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (1996)
Keyphrases
- structure learning
- control parameters
- bayesian networks
- genetic algorithm
- graphical models
- conditional independence
- optimization algorithm
- parameter learning
- multi objective
- bayesian network classifiers
- probabilistic reasoning
- neural network
- bayesian network structures
- posterior probability
- conditional probabilities
- probabilistic model
- fuzzy logic
- random variables
- markov blanket
- fitness function
- evolutionary computation
- artificial neural networks
- simulated annealing
- pid controller
- learning rate
- structure learning algorithm
- markov networks
- probability distribution
- particle swarm optimization
- parameter estimation
- particle swarm optimization pso
- differential evolution
- state variables
- hidden variables
- network structure
- conditional random fields
- machine learning