Performance Improvement of Near-Infrared Spectroscopy-Based Brain-Computer Interface Using Regularized Linear Discriminant Analysis Ensemble Classifier Based on Bootstrap Aggregating

Ensemble classifiers have been proven to result in better classification accuracy than that of a single strong learner in many machine learning studies. Although many studies on electroencephalography-brain-computer interface (BCI) used ensemble classifiers to enhance the BCI performance, ensemble c...

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Detalles Bibliográficos
Autores principales: Shin, Jaeyoung, Im, Chang-Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064639/
https://www.ncbi.nlm.nih.gov/pubmed/32194373
http://dx.doi.org/10.3389/fnins.2020.00168

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064639/
https://www.ncbi.nlm.nih.gov/pubmed/32194373
http://dx.doi.org/10.3389/fnins.2020.00168

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