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Recently, there has been a growing interest in Long-term Time Series Forecasting (LTSF), which involves predicting long-term future values by analyzing a large amount of historical time-series data to identify patterns and trends. There exist signifi
Externí odkaz:
http://arxiv.org/abs/2410.02081
Long-term Time Series Forecasting (LTSF) is critical for numerous real-world applications, such as electricity consumption planning, financial forecasting, and disease propagation analysis. LTSF requires capturing long-range dependencies between inpu
Externí odkaz:
http://arxiv.org/abs/2410.02070
Modern techniques like contrastive learning have been effectively used in many areas, including computer vision, natural language processing, and graph-structured data. Creating positive examples that assist the model in learning robust and discrimin
Externí odkaz:
http://arxiv.org/abs/2402.10434
Akademický článek
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Publikováno v:
IEEE/ACM Transactions on Networking; 2024, Vol. 32 Issue: 3 p1983-1998, 16p