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Chunya Liu1, Xue Xue2, Shaohua Wang3
1School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China. 531294771@qq.com.
本研究介绍了空间时间异质性意识的元参数交互学习 (SHAMPIL) 用于流量预测. 通过捕捉复杂的时空数据依赖性,SHAMPIL提高了准确性,优于现有模型.
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