Interval-based reasoning over continuous variables using independent component analysis and Bayesian networks.
Abdenebi RouiguebFethi DemimBadis DjamaaMohamed MaizaWalid CherifiAbdenour AmamraPublished in: Int. J. Approx. Reason. (2023)
Keyphrases
- continuous variables
- bayesian networks
- structure learning
- discrete variables
- hidden variables
- mixed integer
- dynamic systems
- binary variables
- graphical models
- computationally expensive
- knowledge representation
- conditional probabilities
- conditional independence
- lower bound
- probabilistic inference
- random variables
- probability distribution
- probabilistic model
- posterior probability
- convex hull