Empirical Comparison of Bagging Ensembles Created Using Weak Learners for a Regression Problem.
Karol BanczykOlgierd KempaTadeusz LasotaBogdan TrawinskiPublished in: ACIIDS (2) (2011)
Keyphrases
- ensemble learning
- weak learners
- negative correlation learning
- ensemble methods
- base learners
- learning machines
- generalization ability
- base classifiers
- ensemble classifier
- artificial neural networks
- decision trees
- prediction accuracy
- multi class classification
- random forests
- random forest
- linear regression
- regression problems
- regression model
- model selection
- gaussian processes
- pairwise
- machine learning
- data sets
- multi class
- generalization error
- weak classifiers
- machine learning methods
- classifier ensemble
- adaboost algorithm
- unlabeled data