Optimizing parameters and algorithms of multivariate pattern classification for hypothesis testing in high-density EEG

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Optimizing parameters and algorithms of multivariate pattern classification for hypothesis testing in high-density EEG

Author: Jamalabadi, Hamidreza
Tübinger Autor(en):
Jamalabadi, Hamidreza
Other Contributors: Eberhard Karls Universität Tübingen
Issue year: 2017
Verlagsangabe: Tübingen
Language: English
Full text: http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-782834
DDC Classifikation: 500 - Natural sciences and mathematics
610 - Medicine and health
Dokumentart: PhDThesis
Pages: 145 Seiten : Illustrationen
Reference: 494706503
494706430
Note: Dissertation, Eberhard Karls Universität Tübingen, 2017; Erscheint auch als, Online-Ausgabe, Jamalabadi, Hamidreza, Optimizing parameters and algorithms of multivariate pattern classification for hypothesis testing in high-density EEG, Tübingen, 2017, 1 Online-Ressource (145 Seiten),
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