Boosting Neighborhood-Based Classifiers.
Marc SebbanRichard NockStéphane LallichPublished in: ICML (2001)
Keyphrases
- randomized trees
- weak classifiers
- ensemble learning
- ensemble classifier
- weak learners
- improving classification accuracy
- majority voting
- strong classifier
- multiple classifier systems
- boosting algorithms
- feature selection
- ensemble methods
- adaboost algorithm
- decision stumps
- accurate classifiers
- boosting framework
- discriminative classifiers
- training data
- multiclass classification
- weighted voting
- test set
- bayesian classifiers
- naive bayes
- support vector
- boosted classifiers
- learning algorithm
- filtering algorithm
- supervised classification
- classification models
- feature set
- combining classifiers
- training examples
- classification method
- machine learning
- decision trees
- training set
- semi supervised learning
- training samples
- benchmark datasets
- multiple classifiers
- machine learning methods
- linear classifiers
- machine learning algorithms
- classifier combination
- kernel machines
- cost sensitive
- support vector machine
- classification trees
- classification systems