An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM.
Björn AndresJörg H. KappesUllrich KötheChristoph SchnörrFred A. HamprechtPublished in: DAGM-Symposium (2010)
Keyphrases
- graphical models
- directed graphical models
- higher order
- loopy belief propagation
- belief propagation
- exact inference
- probabilistic inference
- conditional random fields
- undirected graphical models
- belief networks
- map inference
- bayesian networks
- efficient inference algorithms
- random variables
- statistical inference
- factor graphs
- approximate inference
- probabilistic model
- probabilistic graphical models
- markov random field
- markov networks
- structure learning
- marginal probabilities
- probabilistic networks
- conditional independence
- graph structure
- random fields