Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm.
Houman AbbasianChris DrummondNathalie JapkowiczStan MatwinPublished in: ECML/PKDD (3) (2013)
Keyphrases
- ensemble methods
- learning algorithm
- base learners
- generalization ability
- machine learning methods
- ensemble learning
- prediction accuracy
- benchmark datasets
- decision trees
- base classifiers
- drifting concepts
- random forests
- decision tree learning
- machine learning algorithms
- random forest
- ensemble members
- majority voting
- ensemble feature selection
- machine learning
- learning scheme
- training data
- classifier ensemble
- supervised learning
- reinforcement learning
- back propagation
- imbalanced data
- ensemble classifier
- active learning
- bootstrap sampling
- feature subset
- data sets
- boosting algorithms
- learning tasks
- learning problems
- learning machines
- logistic regression
- classification algorithm
- feature selection