Recursive Exponentially Weighted N-way Partial Least Squares Regression with Recursive-Validation of Hyper-Parameters in Brain-Computer Interface Applications

A tensor-input/tensor-output Recursive Exponentially Weighted N-Way Partial Least Squares (REW-NPLS) regression algorithm is proposed for high dimension multi-way (tensor) data treatment and adaptive modeling of complex processes in real-time. The method unites fast and efficient calculation schemes...

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Detalles Bibliográficos
Autores principales: Eliseyev, Andrey, Auboiroux, Vincent, Costecalde, Thomas, Langar, Lilia, Charvet, Guillaume, Mestais, Corinne, Aksenova, Tetiana, Benabid, Alim-Louis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5701264/
https://www.ncbi.nlm.nih.gov/pubmed/29176638
http://dx.doi.org/10.1038/s41598-017-16579-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5701264/
https://www.ncbi.nlm.nih.gov/pubmed/29176638
http://dx.doi.org/10.1038/s41598-017-16579-9

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