High-dimensional Gaussian graphical model for network-linked data.
Tianxi LiCheng QianElizaveta LevinaJi ZhuPublished in: CoRR (2019)
Keyphrases
- graphical models
- linked data
- high dimensional
- belief propagation
- probabilistic inference
- probabilistic model
- probabilistic graphical models
- approximate inference
- semantic web
- random variables
- factor graphs
- semantic data
- linked open data
- bayesian networks
- markov networks
- conditional random fields
- structured data
- data sources
- conditional independence
- open data
- gaussian graphical models
- structure learning
- message passing
- network model
- maximum likelihood
- exact inference
- belief networks
- databases
- rdf data
- data integration
- expert systems
- information retrieval