An EEG signal classification method based on sparse auto-encoders and support vector machine.

Bo Yan Yong Wang Yuheng Li Yejiang Gong Lu Guan Sheng Yu

Published in: ICCC (2016)

Keyphrases

classification method
support vector machine
eeg signals
support vector machine svm
k nearest neighbor
multi class
classification algorithm
signal processing
svm classifier

knn
classification scheme
support vector
text classification
svm classification
brain computer interface
sparse representation
training data

high dimensional
feature selection
machine learning
feature space
event related potentials
extracted features
decision trees
reduced set

artificial intelligence
obstructive sleep apnea
data sets
kernel density estimators
kernel methods
kernel function
computer vision
data mining