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A semi-supervised support vector machine approach for parameter setting in motor imagery-based brain computer interfaces

Parameter setting plays an important role for improving the performance of a brain computer interface (BCI). Currently, parameters (e.g. channels and frequency band) are often manually selected. It is time-consuming and not easy to obtain an optimal combination of parameters for a BCI. In this paper...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Long, Jinyi, Li, Yuanqing, Yu, Zhuliang
Format: Artigo
Sprache:Inglês
Veröffentlicht: Springer Netherlands 2010
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2918756/
https://ncbi.nlm.nih.gov/pubmed/21886673
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11571-010-9114-0
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