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Brain-computer interface (BCI) requires effective classification algorithms for electroencephalogram (EEG) signal processing. To train a classifier for continuous prediction, trials in training dataset are first divided into segments. The difficulty here is how to combine the predictions across time to make the final decision of a whole trial as early and as accurately as possible. In this paper,...
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