Ensembles of biased classifiers.
Rinat KhoussainovAndreas HeßNicholas KushmerickPublished in: ICML (2005)
Keyphrases
- ensemble learning
- decision trees
- ensemble classifier
- classifier ensemble
- weighted voting
- diversity measures
- multiple classifier systems
- support vector
- training data
- imbalanced data
- combining classifiers
- naive bayes
- base classifiers
- machine learning algorithms
- training set
- linear classifiers
- ensemble methods
- decision stumps
- random forests
- majority voting
- feature ranking
- svm classifier
- classification accuracy
- supervised classification
- classifier combination
- training examples
- training samples
- classification rate
- base learners
- neural network
- classification models
- class labels
- multiple classifiers
- classifier fusion
- feature set
- machine learning