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Classification of EEG Signals Using a Multiple Kernel Learning Support Vector Machine
In this study, a multiple kernel learning support vector machine algorithm is proposed for the identification of EEG signals including mental and cognitive tasks, which is a key component in EEG-based brain computer interface (BCI) systems. The presented BCI approach included three stages: (1) a pre...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2014
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4168520/ https://ncbi.nlm.nih.gov/pubmed/25036334 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s140712784 |
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