Extending and Formalizing Bayesian Networks by Strong Relevant Logic.
Jianzhe ZhaoYing LiuJingde ChengPublished in: ACIIDS (1) (2013)
Keyphrases
- bayesian networks
- structure learning
- artificial intelligence
- probabilistic model
- predicate logic
- sound and complete axiomatization
- diagnostic reasoning
- learning bayesian networks
- conditional independence
- expert knowledge
- conditional probabilities
- logic programming
- random variables
- modal logic
- higher level
- text classification
- probabilistic reasoning
- probability theory
- classical logic
- graphical models
- programming language
- probability distribution
- asynchronous circuits
- bayesian network learning
- special case