The Extraction and Complexity Limits of Graphical Models for Linear Codes.
Thomas R. HalfordKeith M. ChuggPublished in: IEEE Trans. Inf. Theory (2008)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- probabilistic graphical models
- random variables
- probabilistic inference
- conditional random fields
- structure learning
- bayesian networks
- approximate inference
- map inference
- exact inference
- markov networks
- belief networks
- conditional independence
- information extraction
- graph structure
- chain graphs
- factor graphs
- statistical relational learning
- closed form
- decision problems
- bayesian inference
- message passing
- higher order
- loopy belief propagation
- graph cuts
- possibilistic networks
- topic models