Comparative study of methods for human performance prediction using electro-encephalographic data

A comparative study of methods tackling the problem of predicting a person's quick or late response in an oddball experiment using their EEG data shows the consistent superiority of the kernel PCA features, whereas SVM is marginally better than the Gaussian classifier.