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结合时间序列和文本数据以预测活动区域中的出租车需求:深度学习方法
论文笔记-出租车需求预测4
深度多视图时空网络用于出租车需求预测
论文笔记-出租车需求预测3
基于图卷积的起点-终点矩阵预测:旅客需求建模的新视角
论文笔记-出租车需求预测2
以高空间分辨率预测出租车需求:接近可预测性的极限
The Simpler The Better:A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms
本文是论文《The Simpler The Better:A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms》的学习笔记,提出了**LinUOTD**,一种用于预测大型在线出租车平台的单位原始出租车需求(UOTD)的统一方法。
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