ADTime: Adaptive Multivariate Time Series Forecasting Using LLMs
Large language models (LLMs) have recently demonstrated notable performance, particularly in addressing the challenge of extensive data requirements when training traditional forecasting models. However, these methods encounter significant challenges when applied to high-dimensional and domain-speci...
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| Päätekijät: | , , , , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | englanti |
| Julkaistu: |
MDPI AG
2025-04-01
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| Sarja: | Machine Learning and Knowledge Extraction |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/2504-4990/7/2/35 |
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