Structural learning of Bayesian networks by bacterial foraging optimization.
Cuicui YangJunzhong JiJiming LiuJinduo LiuBaocai YinPublished in: Int. J. Approx. Reason. (2016)
Keyphrases
- structural learning
- bayesian networks
- graphical models
- structure learning
- probabilistic inference
- probabilistic model
- probability distribution
- conditional probabilities
- conditional independence
- particle swarm optimization pso
- hidden variables
- exact inference
- conditional independence tests
- posterior probability
- conditional random fields
- quantum computing
- random variables
- incomplete data
- improve the convergence speed
- dynamic bayesian networks
- markov networks
- maximum likelihood estimation
- approximate inference
- maximum likelihood
- prior knowledge