A fixed structure learning automata-based optimization algorithm for structure learning of Bayesian networks.
Kayvan AsghariMohammad MasdariFarhad Soleimanian GharehchopoghRahim SaneifardPublished in: Expert Syst. J. Knowl. Eng. (2021)
Keyphrases
- structure learning
- optimization algorithm
- bayesian networks
- graphical models
- multi objective
- learning bayesian networks
- parameter learning
- conditional independence
- bayesian network classifiers
- differential evolution
- bayesian network structures
- markov logic networks
- transfer learning
- markov blanket
- markov networks
- evolutionary algorithm
- random variables
- conditional probabilities
- naive bayes
- parameter estimation
- posterior probability
- probability distribution
- probabilistic model
- structure and parameter learning
- artificial bee colony
- structure learning algorithm
- neural network
- approximate inference
- incomplete data
- probabilistic inference
- belief propagation
- network structure
- sample size
- causal models
- probabilistic reasoning
- belief networks
- honey bee
- search space
- feature selection