Parallell interacting MCMC for learning of topologies of graphical models.
Jukka CoranderMagnus EkdahlTimo KoskiPublished in: Data Min. Knowl. Discov. (2008)
Keyphrases
- graphical models
- probabilistic model
- probabilistic graphical models
- belief propagation
- structural learning
- approximate inference
- probabilistic inference
- bayesian networks
- markov logic networks
- learning algorithm
- reinforcement learning
- factor graphs
- undirected graphical models
- monte carlo
- generative model
- state space
- importance sampling