Interpretable Fuzzy Rule-Based Systems for Classification of Multi-class EEG Data.
Elham ZareianJun ChenLouise O'HareBasabdatta Sen BhattacharyaTimothy J. GordonPublished in: SMC (2018)
Keyphrases
- multi class
- eeg data
- multi class classifier
- multi class classification
- support vector machine
- binary and multi class
- binary classifiers
- multiple classes
- cost sensitive
- multi class svm
- multi class boosting
- error correcting output codes
- protein classification
- eeg signals
- binary classification
- pairwise
- decision trees
- feature selection
- classification accuracy
- data sets
- support vector
- training set
- binary classification tasks
- multi class problems
- classification rules
- brain computer interface
- pattern recognition
- image classification
- feature vectors
- fuzzy rule based systems
- decision making
- pattern classification
- probabilistic boosting tree
- kernel logistic regression
- machine learning
- fuzzy systems
- support vector machine svm
- feature space
- artificial neural networks