Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice?
Adam ZagoreckiMarek J. DruzdzelPublished in: ECAI (2006)
Keyphrases
- knowledge engineering
- bayesian networks
- expert knowledge
- knowledge acquisition
- probability distribution
- expert systems
- knowledge representation
- incomplete data
- knowledge elicitation
- conditional probability distributions
- conditional probability tables
- reasoning under uncertainty
- knowledge management
- rule based expert systems
- artificial intelligence
- domain knowledge
- knowledge based systems
- case based reasoning
- probabilistic reasoning
- ai law
- random variables
- observable variables
- conditional independence
- semantic wiki
- software engineering
- probabilistic inference
- real time
- structure learning
- data sets
- hidden variables
- joint distribution
- domain experts
- knowledge engineers
- information systems
- genetic algorithm
- machine learning
- data mining
- real world