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No abstract

Conf. on Information Technology and Applications in Biomedicine, Corfu, Greece, November 2-5, 2010, and it represents the status of Bayesian sequential learning in real time. In our proposed approach, subjects can use the system while eliminating unnecessary training.The proposed system was tested against a steady-state visual-evoked potential classification problem. The training phase varied for each subject and was sometimes short, yet satisfactory, leading to high classification accuracy.