Learning Graphical Models From the Glauber Dynamics.
Guy BreslerDavid GamarnikDevavrat ShahPublished in: IEEE Trans. Inf. Theory (2018)
Keyphrases
- graphical models
- bayesian networks
- belief propagation
- learning algorithm
- random variables
- probabilistic inference
- structural learning
- structure learning
- prior knowledge
- probabilistic model
- relational dependency networks
- map inference
- markov logic networks
- probabilistic graphical models
- conditional independence
- graph structure
- message passing
- learning problems
- conditional random fields
- semi supervised
- search algorithm