Information Theoretic Feature Transformation Learning for Brain Interfaces

28 Mar 2019Ozan OzdenizciDeniz Erdogmus

Objective: A variety of pattern analysis techniques for model training in brain interfaces exploit neural feature dimensionality reduction based on feature ranking and selection heuristics. In the light of broad evidence demonstrating the potential sub-optimality of ranking based feature selection by any criterion, we propose to extend this focus with an information theoretic learning driven feature transformation concept... (read more)

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