Constructing ensembles of classifiers using linear projections based on misclassified instances.
César Ignacio García-OsorioNicolás García-PedrajasPublished in: ESANN (2008)
Keyphrases
- training instances
- trained classifiers
- decision trees
- ensemble learning
- correctly classified
- classifier ensemble
- data stream classification
- training examples
- diversity measures
- training data
- feature selection
- class labels
- ensemble methods
- instance selection
- multiple classifier systems
- combining classifiers
- individual classifiers
- concept drift
- support vector
- classification systems
- weighted voting
- ensemble classifier
- decision stumps
- test set
- three dimensional
- ensemble members
- imbalanced data
- binary classifiers
- classification algorithm
- training set
- majority voting
- feature ranking
- collective classification
- convex sets
- linear classifiers
- discrete tomography
- hyperplane
- benchmark datasets
- machine learning algorithms
- naive bayes
- kernel support vector machines