Improving biosignal processing through modeling uncertainty: Bayes vs. non-bayes in sleep staging

In this paper we report about an investigation of Bayesian inference applied to neural networks multilayer perceptrons (MLP), in particular in the task of automatic sleep staging based on electroencephalogram (EEG) and electrooculogram (EOG) signals. The main focus was on evaluating the use of so-ca...

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Veröffentlicht in:	Applied artificial intelligence 2002-05, Vol.16 (5), p.395-421
Hauptverfasser:	Sykacek, P., Dorffner, G., Rappelsberger, P., Zeitlhofer, J.
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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