Efficient Learning of Discrete Graphical Models.
Marc VuffraySidhant MisraAndrey Y. LokhovPublished in: CoRR (2019)
Keyphrases
- graphical models
- efficient learning
- belief propagation
- probabilistic model
- random variables
- probabilistic graphical models
- approximate inference
- probabilistic inference
- learning algorithm
- markov networks
- bayesian networks
- exact inference
- map inference
- conditional random fields
- conditional independence
- graph structure
- structure learning
- membership queries
- undirected graphical models
- message passing
- belief networks
- factor graphs
- relational models
- databases
- database
- latent variables
- data mining
- loopy belief propagation