Structure Learning of Probabilistic Relational Models from Incomplete Relational Data.
Xiao-Lin LiZhi-Hua ZhouPublished in: ECML (2007)
Keyphrases
- structure learning
- relational data
- relational structures
- bayesian networks
- graphical models
- markov logic networks
- relational databases
- conditional independence
- parameter learning
- structured data
- parameter estimation
- transfer learning
- markov networks
- probabilistic inference
- xml documents
- sample size
- xml data
- data objects
- network structure
- approximate inference
- probabilistic model
- random variables
- generative model
- belief propagation
- data model