Keyphrases
- weak classifiers
- ensemble learning
- randomized trees
- weak learners
- ensemble classifier
- improving classification accuracy
- boosting algorithms
- feature selection
- boosting framework
- majority voting
- multiple classifier systems
- decision stumps
- training data
- adaboost algorithm
- strong classifier
- weighted voting
- multiclass classification
- accurate classifiers
- multiple classifiers
- boosted classifiers
- supervised classification
- individual classifiers
- linear classifiers
- multi class
- support vector
- classification trees
- binary classification problems
- training set
- feature set
- base classifiers
- combining classifiers
- cost sensitive
- svm classifier
- test set
- combining multiple
- classification models
- ensemble methods
- loss function
- machine learning algorithms
- naive bayes
- knn
- decision trees
- machine learning
- roc curve
- generalization ability
- random forest
- ensemble classification
- convex combinations
- learning algorithm