Pushing Data into CP Models Using Graphical Model Learning and Solving.
Céline BrouardSimon de GivryThomas SchiexPublished in: CP (2020)
Keyphrases
- graphical models
- prior knowledge
- probabilistic model
- relational models
- learning algorithm
- structural learning
- probabilistic graphical models
- conditional dependencies
- markov logic networks
- hidden variables
- belief propagation
- relational data
- bayesian framework
- structure learning
- statistical inference
- missing values
- factor graphs
- random variables
- semi supervised
- information extraction