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Improving Generalization Based on l(1)-Norm Regularization for EEG-Based Motor Imagery Classification
Multichannel electroencephalography (EEG) is widely used in typical brain-computer interface (BCI) systems. In general, a number of parameters are essential for a EEG classification algorithm due to redundant features involved in EEG signals. However, the generalization of the EEG method is often ad...
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| Gepubliceerd in: | Front Neurosci |
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| Hoofdauteurs: | , , , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Frontiers Media S.A.
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5954047/ https://ncbi.nlm.nih.gov/pubmed/29867307 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00272 |
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