Empirical analysis and evaluation of approximate techniques for pruning regression bagging ensembles.
Daniel Hernández-LobatoGonzalo Martínez-MuñozAlberto SuárezPublished in: Neurocomputing (2011)
Keyphrases
- empirical analysis
- ensemble methods
- theoretical analysis
- empirical studies
- decision trees
- ensemble learning
- tree ensembles
- random forests
- listed companies
- neural network ensembles
- ensemble selection
- base classifiers
- base learners
- imbalanced data
- regression trees
- random forest
- simple linear
- regression problems
- learning machines
- regression model
- machine learning
- gradient boosting
- learning algorithm
- classifier ensemble
- active learning
- ensemble classifier
- meta learning
- weighted voting
- least squares
- classification accuracy
- randomized trees
- training data
- decision tree ensembles