Keyphrases
- ensemble learning
- randomized trees
- weak classifiers
- weak learners
- boosting algorithms
- ensemble classifier
- feature selection
- boosting framework
- improving classification accuracy
- multiple classifier systems
- majority voting
- strong classifier
- weighted voting
- adaboost algorithm
- decision stumps
- support vector
- discriminative classifiers
- training data
- accurate classifiers
- multiclass classification
- ensemble methods
- decision trees
- loss function
- feature set
- supervised classification
- test set
- training set
- multi class
- svm classifier
- naive bayes
- boosted classifiers
- combining classifiers
- cost sensitive
- bayesian classifiers
- classifier ensemble
- class labels
- linear classifiers
- meta learning
- feature space
- generalization ability
- ensemble classification
- convex combinations
- machine learning
- bayesian classifier
- multiple classifiers
- individual classifiers
- binary classification problems
- face recognition
- binary classifiers
- object detectors
- combining multiple
- base classifiers
- machine learning methods
- training samples
- support vector machine