Probabilistic independence with respect to upper and lower conditional probabilities assigned by Hausdorff outer and inner measures.
Serena DoriaPublished in: Int. J. Approx. Reason. (2007)
Keyphrases
- conditional probabilities
- independence assumption
- probability measures
- bayesian networks
- probabilistic inference
- probabilistic model
- probability distribution
- belief networks
- posterior probability
- random variables
- prior probabilities
- joint distribution
- bayesian model
- bayesian belief networks
- conditional independence
- joint probability
- bayesian network structure
- probabilistic knowledge
- hausdorff distance
- network parameters
- class labels
- graphical models
- causal knowledge
- main idea consists
- bayesian inference
- markov networks
- feature selection
- utility function
- multi dimensional
- similarity measure
- knowledge base