Multivariate Time Series Imputation: An Approach Based on Dictionary Learning

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...

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Hlavní autoři: Xiaomeng Zheng, Bogdan Dumitrescu, Jiamou Liu, Ciprian Doru Giurcăneanu
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-07-01
Edice:Entropy
Témata:
multivariate time series
missing data
imputation
dictionary learning
information theoretic criteria
On-line přístup:https://www.mdpi.com/1099-4300/24/8/1057

Internet

https://www.mdpi.com/1099-4300/24/8/1057

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