Using Bagging and Cross-Validation to Improve Ensembles Based on Penalty Terms.
Joaquín Torres-SospedraCarlos Hernández-EspinosaMercedes Fernández-RedondoPublished in: ICONIP (2) (2011)
Keyphrases
- cross validation
- generalization error
- training set
- model selection
- variable selection
- ensemble methods
- ensemble selection
- support vector
- base learners
- decision trees
- hyperparameters
- cross validated
- ensemble learning
- ensemble members
- base classifiers
- regression problems
- neural network ensembles
- nearest neighbor classifiers
- information criterion
- imbalanced data
- decision tree induction
- classifier ensemble
- unseen data
- artificial neural networks
- data sets
- face recognition
- meta learning
- random forests
- training data
- random forest
- error estimates
- machine learning methods