Reconciling Use Cases via Controlled Languages and Graphical Models.
Kathrin BöttgerRolf SchwitterDebbie RichardsOscar AguileraDiego Mollá AliodPublished in: INAP (2001)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- probabilistic graphical models
- probabilistic inference
- approximate inference
- random variables
- bayesian networks
- map inference
- structure learning
- conditional independence
- markov networks
- conditional random fields
- belief networks
- exact inference
- statistical inference
- loopy belief propagation
- chain graphs
- gaussian graphical models
- graph structure
- bayesian inference
- message passing
- background knowledge
- generative model
- knowledge representation
- data model