A generalization of the fundamental theorem of de Finetti for imprecise conditional probability assessments.
Veronica BiazzoAngelo GilioPublished in: Int. J. Approx. Reason. (2000)
Keyphrases
- conditional probabilities
- probabilistic inference
- probability distribution
- probabilistic model
- bayesian networks
- belief networks
- bayesian belief networks
- bayesian model
- random variables
- posterior probability
- joint distribution
- joint probability
- prior probabilities
- discrete random variables
- inference rules
- class labels
- network parameters
- image processing
- bayesian network structure
- feature selection
- uncertain information
- probability measures
- learning algorithm
- causal independence
- data sets