The Extraction and Complexity Limits of Graphical Models for Linear Codes
Thomas R. HalfordKeith M. ChuggPublished in: CoRR (2006)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- probabilistic graphical models
- random variables
- probabilistic inference
- bayesian networks
- map inference
- approximate inference
- conditional independence
- structure learning
- conditional random fields
- belief networks
- markov networks
- directed acyclic
- factor graphs
- gaussian graphical models
- exact inference
- information extraction
- statistical inference
- graph structure
- closed form
- loopy belief propagation
- energy function
- generative model
- knowledge representation