Handling Few Training Data: Classifier Transfer Between Different Types of Error-Related Potentials

IEEE Transactions on Neural Systems and Rehabilitation Engineering, pp. 320-332, 2016.

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Abstract:

This paper proposes an application oriented approach that enables to transfer a classifier trained within an experimental scenario into a more complex application scenario or a specific rehabilitation situation which do not allow to collect sufficient training data within a reasonable amount of time. The proposed transfer approach is not ...More

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