Ensemble SWLDA Classifiers for the P300 Speller.
Garett D. JohnsonDean J. KrusienskiPublished in: HCI (2) (2009)
Keyphrases
- ensemble learning
- ensemble classifier
- multiple classifiers
- classifier ensemble
- ensemble pruning
- training set
- training data
- majority voting
- individual classifiers
- final classification
- ensemble methods
- combining classifiers
- feature selection
- naive bayes
- base classifiers
- randomized trees
- weighted voting
- rule induction algorithm
- majority vote
- decision trees
- ensemble members
- one class support vector machines
- imbalanced data
- decision tree classifiers
- multiple classifier systems
- accurate classifiers
- weak learners
- classifier combination
- weak classifiers
- classification systems
- classification accuracy
- pruning method
- ensemble classification
- neural network
- bias variance decomposition
- classifier fusion
- class label noise
- random forests
- support vector
- machine learning methods
- test set
- svm classifier
- feature set
- feature ranking
- training samples
- machine learning
- mining concept drifting data streams
- support vector machine
- trained classifiers
- publicly available data sets
- diversity measures
- machine learning algorithms
- random forest
- generalization ability
- linear classifiers
- support vector machine svm
- motor imagery
- multi class
- feature extraction
- concept drifting data streams
- base learners