Bundling classifiers by bagging trees.
Torsten HothornBerthold LausenPublished in: Comput. Stat. Data Anal. (2005)
Keyphrases
- randomized trees
- decision trees
- ensemble learning
- decision stumps
- majority voting
- decision tree classifiers
- random forests
- ensemble classifier
- ensemble methods
- voting methods
- naive bayes
- meta learning
- classifier ensemble
- training set
- individual classifiers
- decision tree learners
- class label noise
- tree ensembles
- imbalanced data
- machine learning algorithms
- tree induction
- random forest
- training data
- machine learning
- ensemble classification
- base classifiers
- classification models
- linear classifiers
- support vector
- model selection
- test set
- learning machines
- text categorization
- generalization error
- feature selection
- ensemble members
- test data
- nearest neighbour
- svm classifier
- subspace methods
- tree structure
- regression trees