Adaptive inference on general graphical models.
Umut A. AcarAlexander T. IhlerRamgopal R. MettuÖzgür SümerPublished in: UAI (2008)
Keyphrases
- graphical models
- probabilistic inference
- exact inference
- map inference
- bayesian networks
- belief propagation
- belief networks
- approximate inference
- probabilistic model
- probabilistic graphical models
- factor graphs
- random variables
- loopy belief propagation
- statistical inference
- structure learning
- undirected graphical models
- statistical relational learning
- markov networks
- possibilistic networks
- graph structure
- message passing
- collective classification
- probabilistic networks
- markov logic networks
- special case
- graphical structure
- parameter learning
- conditional independence
- nonparametric belief propagation
- directed graphical models
- structured prediction
- bayesian inference
- statistical relational
- efficient inference algorithms
- relational dependency networks
- marginal probabilities
- inference process
- variational methods
- maximum likelihood
- objective function