Classification of epilepsy seizure phase using interval type-2 fuzzy support vector machines.
Udeme EkongHak-Keung LamBo XiaoGaoxiang OuyangHongbin LiuKit Yan ChanSai-Ho LingPublished in: Neurocomputing (2016)
Keyphrases
- eeg signals
- fuzzy support vector machines
- eeg data
- decision trees
- classification accuracy
- pattern recognition
- learning phase
- support vector machine svm
- training phase
- machine learning
- feature extraction
- classification method
- classification systems
- classification algorithm
- text classification
- signal processing
- decision rules
- support vector machine
- pattern classification
- feature space
- preprocessing
- support vector
- supervised learning
- data sets
- benchmark datasets
- cross validation
- unsupervised learning
- cost sensitive
- preprocessing phase