Deep Decision Tree Transfer Boosting.
Shuhui JiangHaiyi MaoZhengming DingYun FuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- decision trees
- decision tree algorithm
- ensemble methods
- base classifiers
- boosted decision trees
- classification trees
- unsupervised feature learning
- machine learning
- transfer learning
- classification rules
- logistic regression
- predictive accuracy
- tree induction
- ensemble learning
- random forests
- binary classification problems
- decision tree induction
- adaboost algorithm
- deep learning
- random forest
- knowledge transfer
- learning algorithm
- decision tree learning
- naive bayes
- attribute selection
- boosting algorithms
- classification models
- training set
- feature selection
- information gain
- structured data
- benchmark datasets
- weak learners
- machine learning algorithms
- leaf nodes
- tree construction
- bayesian classifiers
- weak classifiers