Probabilistic representation and approximate inference of type-2 fuzzy events in Bayesian networks with interval probability parameters.
Wei-Yi LiuKun YueJing-Yu SuYu YaoPublished in: Expert Syst. Appl. (2009)
Keyphrases
- bayesian networks
- approximate inference
- dynamic bayesian networks
- parameter learning
- conditional probabilities
- graphical models
- exact inference
- probabilistic inference
- posterior probability
- probability distribution
- parameter estimation
- partition function
- probabilistic model
- inference in bayesian networks
- factor graphs
- structure learning
- bayesian network inference
- conditional independence
- message passing
- belief propagation
- loopy belief propagation
- random variables
- least squares
- markov networks
- markov blanket
- latent variables
- continuous variables
- belief networks
- maximum likelihood
- expectation maximization
- structured prediction
- gaussian process
- conditional random fields
- expectation propagation
- free energy
- post processing
- parameter space
- posterior distribution
- incomplete data