Implicit parameter estimation for conditional Gaussian Bayesian networks.
Aida JarrayaPhilippe LerayAfif MasmoudiPublished in: Int. J. Comput. Intell. Syst. (2014)
Keyphrases
- parameter estimation
- bayesian networks
- random field model
- maximum likelihood
- random fields
- markov fields
- structure learning
- conditional probabilities
- parameter learning
- markov random field
- approximate inference
- least squares
- em algorithm
- expectation maximization
- model selection
- posterior distribution
- conditional independence
- sets of probability measures
- parameter estimation algorithm
- parameter values
- probabilistic inference
- statistical models
- graphical models
- gaussian distribution
- posterior probability
- maximum likelihood estimation
- covariance matrices
- probabilistic model
- probability distribution
- exact inference
- estimation problems
- hidden variables
- machine learning
- random variables
- gibbs sampling
- parameter estimates
- maximum likelihood estimates
- pairwise
- maximum a posteriori