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Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods

Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods,10.1007/3-540-56602-3_152,Miroslav Kubat,Doris Flotzinger,Gert Pfurtscheller

Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods   (Citations: 15)
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The objective of this paper is to draw the attention of the ML-researchers to the domain of data analysis. The issue is illustrated by an attractive case study—automatic classification of non-averaged EEG-signals. We applied several approaches and obtained best results from a combination of an ID3-like program with Bayesian learning.
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