A Randomised Ensemble Learning Approach for Multiclass Motor Imagery Classification Using Error Correcting Output Coding.
Sutanu BeraRinku RoyDebdeep SikdarAupendu KarRupsha MukhopadhyayManjunatha MahadevappaPublished in: EMBC (2018)
Keyphrases
- multi class
- multiclass classification
- error correcting output coding
- ensemble learning
- base classifiers
- error correcting output codes
- support vector machine
- generalization ability
- multi class classification
- binary classifiers
- multiclass problems
- multi class classifier
- cost sensitive
- ensemble classifier
- binary classification
- binary classification problems
- ensemble methods
- feature selection
- web page prediction
- base learners
- multi class problems
- decision trees
- prediction accuracy
- pairwise
- class labels
- machine learning
- support vector
- pattern recognition
- training samples
- random forest
- text classification
- linear classifiers
- classification accuracy
- feature vectors
- naive bayes
- training set
- perceptron algorithm
- non stationary
- machine learning algorithms
- feature extraction
- machine learning methods
- classification algorithm
- benchmark datasets