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May, 2023
深度概率时间序列预测的更好批次
Better Batch for Deep Probabilistic Time Series Forecasting
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Vincent Zhihao Zheng, Seongjin Choi, Lijun Sun
TL;DR
本研究提出了一种新的训练方法,可以考虑误差自相关性,提高深度概率时间序列预测模型的准确性,并通过多个公共数据集验证了方法的有效性。
Abstract
Deep probabilistic
time series
forecasting has gained significant attention due to its ability to provide valuable
uncertainty quantification
for decision-making tasks. However, many existing models oversimplify
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