Adaptive Inference on General Graphical Models
Umut A. AcarAlexander T. IhlerRamgopal R. MettuÖzgür SümerPublished in: CoRR (2012)
Keyphrases
- graphical models
- probabilistic inference
- exact inference
- belief propagation
- map inference
- factor graphs
- approximate inference
- bayesian networks
- belief networks
- probabilistic model
- conditional random fields
- probabilistic graphical models
- statistical inference
- random variables
- nonparametric belief propagation
- loopy belief propagation
- markov networks
- efficient inference algorithms
- undirected graphical models
- statistical relational learning
- markov logic networks
- relational dependency networks
- structure learning
- conditional independence
- special case
- probabilistic networks
- collective classification
- bayesian inference
- directed graphical models
- graphical structure
- exponential family
- statistical relational
- model selection
- marginal probabilities
- latent variables
- possibilistic networks
- structural learning
- dynamic bayesian networks
- lower bound