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Multi-Model Adaptation Learning With Possibilistic Clustering Assumption for EEG-Based Emotion Recognition

In machine learning community, graph-based semi-supervised learning (GSSL) approaches have attracted more extensive research due to their elegant mathematical formulation and good performance. However, one of the reasons affecting the performance of the GSSL method is that the training data and test...

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Главные авторы: Yufang Dan, Jianwen Tao, Di Zhou
Формат: Artigo
Язык:Inglês
Опубликовано: Frontiers Media S.A. 2022-05-01
Серии:Frontiers in Neuroscience
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Online-ссылка:https://www.frontiersin.org/articles/10.3389/fnins.2022.855421/full
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