Random Subspace Ensemble Learning for Functional Near-Infrared Spectroscopy Brain-Computer Interfaces

The feasibility of the random subspace ensemble learning method was explored to improve the performance of functional near-infrared spectroscopy-based brain-computer interfaces (fNIRS-BCIs). Feature vectors have been constructed using the temporal characteristics of concentration changes in fNIRS ch...

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Detalles Bibliográficos
Autor principal: Shin, Jaeyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Human Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379868/
https://www.ncbi.nlm.nih.gov/pubmed/32765235
http://dx.doi.org/10.3389/fnhum.2020.00236

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379868/
https://www.ncbi.nlm.nih.gov/pubmed/32765235
http://dx.doi.org/10.3389/fnhum.2020.00236

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