Limited Discrepancy AND/OR Search and Its Application to Optimization Tasks in Graphical Models.
Javier LarrosaEmma RollonRina DechterPublished in: IJCAI (2016)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- random variables
- search algorithm
- approximate inference
- probabilistic graphical models
- markov networks
- probabilistic inference
- mini bucket
- bayesian networks
- search space
- belief networks
- conditional random fields
- exact inference
- map inference
- structure learning
- conditional independence
- objective function
- statistical model
- directed acyclic
- chain graphs
- structural learning
- graphical structure
- statistical relational learning
- statistical inference
- hidden markov models
- probability distribution
- combinatorial optimization
- markov random field