Stable graphical model estimation with Random Forests for discrete, continuous, and mixed variables.
Bernd FellinghauerPeter BühlmannMartin RyffelMichael von RheinJan D. ReinhardtPublished in: Comput. Stat. Data Anal. (2013)
Keyphrases
- graphical models
- random forests
- continuous valued
- continuous variables
- random variables
- structure learning
- bayesian networks
- belief propagation
- factor graphs
- random forest
- probabilistic model
- probabilistic inference
- machine learning algorithms
- probabilistic graphical models
- decision trees
- approximate inference
- ensemble methods
- conditional dependencies
- logistic regression
- markov networks
- exact inference
- message passing
- conditional random fields
- conditional independence
- graphical structure
- decision tree ensembles
- parameter estimation
- variable selection
- conditional probabilities
- machine learning methods
- markov random field
- state space
- feature extraction