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Attention-Based Sequence-to-Sequence Model for Time Series Imputation
Time series data are usually characterized by having missing values, high dimensionality, and large data volume. To solve the problem of high-dimensional time series with missing values, this paper proposes an attention-based sequence-to-sequence model to imputation missing values in time series (AS...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778091/ https://www.ncbi.nlm.nih.gov/pubmed/36554203 http://dx.doi.org/10.3390/e24121798 |