Multiagent bayesian forecasting of structural time-invariant dynamic systems with graphical models.
Yang XiangJames SmithJeff KroesPublished in: Int. J. Approx. Reason. (2011)
Keyphrases
- graphical models
- dynamic systems
- bayesian networks
- multi agent
- complex systems
- statistical inference
- belief propagation
- consistency based diagnosis
- probabilistic model
- random variables
- probabilistic inference
- conditional random fields
- discrete event
- structure learning
- probabilistic graphical models
- approximate inference
- exact inference
- dynamical systems
- particle filter
- state variables
- cooperative
- belief networks
- multi agent systems
- conditional independence
- bayesian inference
- markov networks
- map inference
- marginal probabilities
- posterior probability
- factor graphs
- interactive dynamic influence diagrams
- linear time invariant
- statistical relational learning
- model based diagnosis
- possibilistic networks
- posterior distribution
- maximum likelihood
- image segmentation