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Time-series benchmarks based on frequency features for fair comparative evaluation
Time-series prediction and imputation receive lots of attention in academic and industrial areas. Machine learning methods have been developed for specific time-series scenarios; however, it is difficult to evaluate the effectiveness of a certain method on other new cases. In the perspective of freq...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122570/ https://www.ncbi.nlm.nih.gov/pubmed/37362566 http://dx.doi.org/10.1007/s00521-023-08562-5 |