Structure Learning for Bayesian Networks Using the Physarum Solver.
Torsten SchönMartin StetterElmar Wolfgang LangPublished in: ICMLA (1) (2012)
Keyphrases
- structure learning
- bayesian networks
- learning bayesian networks
- graphical models
- conditional independence
- parameter learning
- bayesian network classifiers
- dynamic bayesian networks
- bayesian network structure learning
- bayesian network structures
- markov logic networks
- markov blanket
- probabilistic model
- probabilistic inference
- bayesian network structure
- probabilistic reasoning
- structure learning algorithm
- structure and parameter learning
- posterior probability
- network structure
- continuous variables
- transfer learning
- naive bayes
- probability distribution
- random variables
- parameter estimation
- markov networks
- hidden variables
- incomplete data
- conditional probabilities
- exact inference
- approximate inference
- feature selection
- least squares
- image segmentation