Learning Graphical Model Structure Using L1-Regularization Paths.
Mark SchmidtAlexandru Niculescu-MizilKevin P. MurphyPublished in: AAAI (2007)
Keyphrases
- graphical models
- undirected graphical models
- random variables
- belief propagation
- probabilistic model
- graph structure
- gaussian graphical models
- conditional dependencies
- conditional independence
- approximate inference
- learning algorithm
- probabilistic inference
- exact inference
- probabilistic graphical models
- conditional random fields
- prior knowledge
- markov logic networks
- structural learning
- bayesian networks