Login / Signup
Support vector machines using EEG features of cross-frequency coupling can predict treatment outcome in Mecp2-deficient mice.
Sinisa Colic
Robert G. Wither
Min Lang
Zhang Liang
James H. Eubanks
Berj L. Bardakjian
Published in:
EMBC (2015)
Keyphrases
</>
support vector
classification accuracy
svm classifier
image features
feature set
learning machines
false positives
low level
prior knowledge
feature vectors
co occurrence
data sets
signal processing
kernel function
spatial information
hyperplane
eeg signals
feature space
ecg signals