An experimental study on diversity for bagging and boosting with linear classifiers.
Ludmila KunchevaMarina SkurichinaRobert P. W. DuinPublished in: Inf. Fusion (2002)
Keyphrases
- linear classifiers
- base classifiers
- multi class
- ensemble methods
- generalization error
- ensemble learning
- classifier ensemble
- learning algorithm
- weak classifiers
- negative correlation learning
- ensemble classifier
- training set
- decision trees
- cross validation
- hyperplane
- machine learning
- upper bound
- active learning
- training data
- multi task
- feature selection
- text classification
- model selection
- pairwise
- hyperparameters
- feature extraction
- svm classifier
- training samples