Multiclass EEG signal classification utilizing Rényi min-entropy-based feature selection from wavelet packet transformation.
Md. Asadur RahmanFarzana KhanamMohiuddin AhmadMohammad Shorif UddinPublished in: Brain Informatics (2020)
Keyphrases
- multi class
- feature selection
- eeg signals
- multiclass classification
- wavelet packet
- support vector machine
- multi class classification
- binary classifiers
- cost sensitive classification
- cost sensitive
- multiclass support vector machines
- multiclass problems
- multi class classifier
- classification accuracy
- multiple classes
- binary classification problems
- error correcting output codes
- binary classification
- binary classification tasks
- feature extraction
- pairwise
- denoising
- wavelet transform
- feature set
- support vector
- feature space
- text classification
- multi task
- multiclass svm
- machine learning
- filter bank
- svm classifier
- dimensionality reduction
- neural network
- brain computer interface
- subband
- support vector machine svm
- multiclass learning
- signal processing
- feature vectors
- image classification
- learning algorithm
- multiscale
- data structure
- pattern recognition
- active learning
- feature subset
- text categorization
- machine learning algorithms
- wavelet decomposition
- base classifiers