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Application of Transfer Learning in EEG Decoding Based on Brain-Computer Interfaces: A Review

The algorithms of electroencephalography (EEG) decoding are mainly based on machine learning in current research. One of the main assumptions of machine learning is that training and test data belong to the same feature space and are subject to the same probability distribution. However, this may be...

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Dades bibliogràfiques
Publicat a:Sensors (Basel)
Autors principals: Zhang, Kai, Xu, Guanghua, Zheng, Xiaowei, Li, Huanzhong, Zhang, Sicong, Yu, Yunhui, Liang, Renghao
Format: Artigo
Idioma:Inglês
Publicat: MDPI 2020
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7664219/
https://ncbi.nlm.nih.gov/pubmed/33167561
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20216321
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