Accelerating Decision Tree Ensemble with Guided Branch Approximation.
Keisuke KamahoriShinya Takamaeda-YamazakiPublished in: HEART (2022)
Keyphrases
- decision trees
- ensemble methods
- random forest
- random forests
- decision tree classifiers
- base classifiers
- decision tree induction
- training set
- naive bayes
- training data
- error bounds
- approximation algorithms
- ensemble learning
- special case
- binary classification problems
- ensemble classifier
- learning algorithm
- logistic regression
- machine learning algorithms
- classifier ensemble
- relative error
- majority voting
- approximation error
- decision tree learning
- predictive accuracy
- meta learning
- closed form
- attribute selection
- multi class
- error tolerance