Estimating Information-Theoretic Quantities with Random Forests.
Richard GuoCencheng ShenJoshua T. VogelsteinPublished in: CoRR (2019)
Keyphrases
- information theoretic
- random forests
- information theory
- mutual information
- random forest
- decision trees
- machine learning algorithms
- ensemble methods
- theoretic framework
- logistic regression
- information bottleneck
- information theoretic measures
- tree ensembles
- decision tree ensembles
- jensen shannon divergence
- kullback leibler divergence
- relative entropy
- entropy measure
- multi class
- feature set
- randomized trees
- pairwise
- machine learning