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Multi-class pattern classification has many applications including text document classification, speech recognition, object recognition, etc. Multi-class pattern classification using neural networks is not a trivial extension from two-class neural ...
This article investigates the properties of class-switching ensembles composed of neural networks and compares them to class-switching ensembles of decision trees and to standard ensemble learning methods, such as bagging and boosting. In a class-...
Electroencephalography measured around the ear (ear-EEG) has been considered as an effective measurement for the development of practical EEG-based applications because it has convenience compared to the conventional scalp-EEGs in ...
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