Imprecise Quantifiers and Conditional Probabilities.
Stéphane AmargerDidier DuboisHenri PradePublished in: ECSQARU (1991)
Keyphrases
- conditional probabilities
- probabilistic inference
- probability distribution
- probabilistic model
- inference rules
- bayesian networks
- joint distribution
- belief networks
- random variables
- bayesian model
- bayesian belief networks
- first order logic
- network parameters
- natural language
- posterior probability
- prior probabilities
- joint probability
- independence assumption
- supervised learning
- unsupervised learning
- data sets
- class labels
- bayesian network structure
- causal independence
- belief nets