A Decision Theoretic View on Choosing Heuristics for Discovery of Graphical Models.
Yang XiangPublished in: FLAIRS Conference (2007)
Keyphrases
- graphical models
- decision theoretic
- belief propagation
- probabilistic model
- random variables
- probabilistic inference
- approximate inference
- probabilistic graphical models
- expected utility
- belief networks
- conditional random fields
- bayesian networks
- structure learning
- decision theory
- markov networks
- mini bucket
- statistical inference
- exact inference
- map inference
- conditional independence
- factor graphs
- search algorithm
- hidden markov models
- influence diagrams
- message passing
- statistical relational learning
- dynamic programming
- chain graphs