Memory-efficient inference in dynamic graphical models using multiple cores.
Galen AndrewJeff A. BilmesPublished in: AISTATS (2012)
Keyphrases
- graphical models
- memory efficient
- probabilistic inference
- exact inference
- map inference
- bayesian networks
- belief networks
- approximate inference
- belief propagation
- factor graphs
- probabilistic model
- random variables
- loopy belief propagation
- efficient inference algorithms
- probabilistic graphical models
- undirected graphical models
- structure learning
- statistical inference
- markov networks
- conditional random fields
- directed graphical models
- nonparametric belief propagation
- possibilistic networks
- probabilistic reasoning
- graph structure
- conditional independence
- bayesian inference
- statistical relational learning
- latent variables
- markov logic networks
- partition function
- message passing
- markov random field
- relational dependency networks
- pairwise
- marginal probabilities
- collective classification
- image labeling
- parameter learning
- random fields