CaDET: interpretable parametric conditional density estimation with decision trees and forests.
Cyrus CousinsMatteo RiondatoPublished in: Mach. Learn. (2019)
Keyphrases
- decision trees
- conditional density estimation
- random forests
- random forest
- classification rules
- monte carlo
- naive bayes
- density ratio
- semi parametric
- machine learning algorithms
- density ratio estimation
- ensemble methods
- training data
- machine learning
- parametric models
- outlier detection
- test set
- least squares
- pairwise