A Multiattention-Based Supervised Feature Selection Method for Multivariate Time Series

Feature selection is a known technique to preprocess the data before performing any data mining task. In multivariate time series (MTS) prediction, feature selection needs to find both the most related variables and their corresponding delays. Both aspects, to a certain extent, represent essential c...

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Detalles Bibliográficos
Autores principales: Cao, Li, Chen, Yanting, Zhang, Zhiyang, Gui, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318748/
https://www.ncbi.nlm.nih.gov/pubmed/34335722
http://dx.doi.org/10.1155/2021/6911192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318748/
https://www.ncbi.nlm.nih.gov/pubmed/34335722
http://dx.doi.org/10.1155/2021/6911192

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