Yüklüyor......
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...
Kaydedildi:
| Asıl Yazarlar: | , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer Netherlands
2010
|
| Konular: | |
| Online Erişim: | 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 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|