Adaptive learning for modelling non-stationarity in EEG-based brain-computer interfacing
Non-stationary learning (NSL) refers to the process that can learn rules from data, adapt to shifts, and improve the performance of the system with its experience while operating in the non-stationary environments (NSE). While data processing in NSE, a covariate shift is a major challenge wherein th...
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Ulster University
2016
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.695308 |