Hi everyone,
I have a problem about SVM in P300 Classification. I want to know what kind of kernel function mostly used in this field ? I have used SWLDA to classify P300 data which can gain adoptive result . While with the same feature vector , SVM get very poor performance . I use libsvm ,parameters are those : -s 3 -t 0 , after cross-validation get -c and -g . So I want to know what -t I should set ?
Thanks ,sincerely
Sandra .
Apply SVM in P300 Classification
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