Improving generalization performance of bagging ensemble via Bayesian approach.
Shuichi KurogiKenta HarashimaPublished in: CIRA (2009)
Keyphrases
- ensemble methods
- ensemble learning
- base classifiers
- learning machines
- random forests
- ensemble members
- random forest
- ensemble selection
- ensemble classification
- imbalanced data
- majority voting
- ensemble classifier
- classifier ensemble
- prediction accuracy
- generalization ability
- training set
- decision trees
- machine learning
- base learners
- class label noise
- learning algorithm
- benchmark datasets
- weighted voting
- tree ensembles
- bootstrap sampling
- machine learning methods
- data sets
- randomized trees
- model averaging
- random subspace
- multi class
- logistic regression
- classification accuracy
- weak learners
- subspace methods
- generalization error
- class distribution
- meta learning
- selection strategy