Gauges, Loops, and Polynomials for Partition Functions of Graphical Models.
Michael ChertkovYury MaximovPublished in: CoRR (2018)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- random variables
- approximate inference
- probabilistic inference
- markov networks
- conditional random fields
- probabilistic graphical models
- structure learning
- bayesian networks
- map inference
- graph structure
- exact inference
- structural learning
- conditional independence
- statistical inference
- factor graphs
- gaussian graphical models
- belief networks
- statistical relational learning