Top-Down Decision Tree Boosting and Its Applications.
Eiji TakimotoAkira MaruokaPublished in: Progress in Discovery Science (2002)
Keyphrases
- decision trees
- decision tree algorithm
- ensemble methods
- base classifiers
- boosted decision trees
- classification trees
- naive bayes
- decision tree induction
- tree induction
- machine learning
- cost sensitive
- classification rules
- predictive accuracy
- base learners
- decision tree learning
- ensemble learning
- boosting algorithms
- logistic regression
- bayesian classifiers
- random forest
- adaboost algorithm
- binary classification problems
- high level
- attribute selection
- decision tree algorithms
- feature selection
- ensemble classifier
- random forests
- training data
- decision stumps
- decision tree induction algorithm
- feature construction
- machine learning algorithms
- face detection
- weak learners
- classification models
- decision rules
- privacy preserving
- boosting framework
- learning algorithm