Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice?
Adam ZagoreckiMarek J. DruzdzelPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2013)
Keyphrases
- knowledge engineering
- bayesian networks
- expert knowledge
- expert systems
- knowledge acquisition
- probability distribution
- knowledge elicitation
- knowledge representation
- conditional probability tables
- random variables
- case based reasoning
- rule based expert systems
- incomplete data
- knowledge based systems
- domain knowledge
- conditional probability distributions
- knowledge management
- probabilistic reasoning
- software engineering
- observable variables
- reasoning under uncertainty
- conditional probabilities
- conditional independence
- mixed initiative
- related fields
- semantic wiki
- information systems
- artificial intelligence
- hidden variables
- parameter learning
- databases
- probabilistic model
- data model
- machine learning