Using Bayesian Networks as an Inference Engine in KAMET.
Osvaldo CairóRafael PeñalozaPublished in: SCCC (2003)
Keyphrases
- bayesian networks
- probability distribution
- graphical models
- inference in bayesian networks
- probabilistic inference
- structure learning
- probabilistic reasoning
- conditional probabilities
- conditional independence
- learning bayesian networks
- bayesian network structure
- artificial intelligence
- incomplete data
- hidden variables
- bayesian network learning
- diagnostic reasoning
- databases
- markov networks
- approximate inference
- random variables
- probabilistic model
- expert knowledge
- parameter learning
- bayesian belief networks
- image segmentation
- machine learning
- bayesian network structures
- bayesian network inference
- real time
- multiply sectioned bayesian networks