Causal Discovery from Databases with Discrete and Continuous Variables.
Elena SokolovaPerry GrootTom ClaassenTom HeskesPublished in: Probabilistic Graphical Models (2014)
Keyphrases
- continuous variables
- causal discovery
- bayesian networks
- databases
- discrete variables
- markov blanket
- structure learning
- causal relationships
- causal models
- dynamic systems
- conditional independence
- discovery process
- naive bayes classifier
- mixed integer
- computationally expensive
- random variables
- knowledge discovery
- probabilistic inference
- graphical models
- convex hull
- random walk
- complex systems
- text classification
- hidden variables
- conditional probabilities
- probability distribution
- machine learning