Gaussian Approximation of Collective Graphical Models.
Li-Ping LiuDaniel SheldonThomas G. DietterichPublished in: ICML (2014)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- probabilistic inference
- random variables
- probabilistic graphical models
- approximate inference
- bayesian networks
- map inference
- conditional random fields
- structure learning
- markov networks
- exact inference
- conditional independence
- maximum likelihood
- belief networks
- statistical inference
- approximation algorithms
- partition function
- factor graphs
- closed form
- free energy
- markov logic networks
- parameter estimation
- graph structure
- models with hidden variables