Multivariate Time Series Imputation: An Approach Based on Dictionary Learning

The problem addressed by dictionary learning (DL) is the representation of data as a sparse linear combination of columns of a matrix called dictionary. Both the dictionary and the sparse representations are learned from the data. We show how DL can be employed in the imputation of multivariate time...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Xiaomeng, Dumitrescu, Bogdan, Liu, Jiamou, Giurcăneanu, Ciprian Doru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407201/
https://www.ncbi.nlm.nih.gov/pubmed/36010721
http://dx.doi.org/10.3390/e24081057

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407201/
https://www.ncbi.nlm.nih.gov/pubmed/36010721
http://dx.doi.org/10.3390/e24081057

Ejemplares similares