Learning partial correlation graphs and graphical models by covariance queries.
Gábor LugosiJakub TruszkowskiVasiliki VelonaPiotr ZwiernikPublished in: J. Mach. Learn. Res. (2021)
Keyphrases
- graphical models
- structural learning
- probabilistic model
- markov logic networks
- belief propagation
- markov networks
- probabilistic graphical models
- graph structure
- gaussian graphical models
- query language
- undirected graphical models
- conditional random fields
- structure learning
- bayesian networks
- conditional independence
- probabilistic inference
- random variables
- prior knowledge
- incomplete information
- parameter learning
- background knowledge
- statistical relational learning
- information extraction
- graphical structure
- directed acyclic
- learning algorithm
- relational dependency networks