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Oct, 2023
STDA-Meta: Few-shot交通预测的元学习框架
STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction
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Maoxiang Sun, Weilong Ding, Tianpu Zhang, Zijian Liu, Mengda Xing
TL;DR
基于领域适应的时空元知识传递的少样本交通预测方法,在数据稀缺的城市中取得了7%的性能改进。
Abstract
As the development of cities, traffic congestion becomes an increasingly pressing issue, and
traffic prediction
is a classic method to relieve that issue.
traffic prediction
is one specific application of spatio-
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