Modeling the Interactions between Discrete and Continuous Causal Factors in Bayesian Networks.
Peter J. F. LucasArjen HommersomPublished in: Int. J. Intell. Syst. (2015)
Keyphrases
- bayesian networks
- continuous variables
- continuous domains
- conditional independence
- probabilistic modeling
- learning bayesian networks
- probability distribution
- student modeling
- causal discovery
- modeling method
- factors affecting
- dynamic bayesian networks
- discrete variables
- factors influencing
- discrete space
- continuous action
- causal interactions
- causal networks
- causal independence
- continuous functions
- continuous data
- factors that affect
- probabilistic reasoning
- structure learning
- graphical models
- probabilistic model
- discrete data
- factors that influence
- social behavior
- parameter learning
- incomplete data
- discrete geometry
- random variables
- neural network