Towards Reconciling Use Cases via Controlled Language and Graphical Models.
Kathrin BöttgerRolf SchwitterDiego Mollá AliodDebbie RichardsPublished in: INAP (LNCS Volume) (2001)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- probabilistic inference
- approximate inference
- random variables
- probabilistic graphical models
- structure learning
- bayesian networks
- map inference
- conditional random fields
- loopy belief propagation
- exact inference
- markov networks
- natural language
- conditional independence
- graph structure
- distributed systems
- statistical inference
- gaussian graphical models
- belief networks
- exponential family
- factor graphs
- message passing
- structured data
- structural learning