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机译:通过考虑时间和空间依赖性,有效地为交通流分配缺失数据
Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing 100084, China;
Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing 100084, China;
Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing 100084, China;
Traffic flow; Missing data; Temporal and spatial dependence; Probabilistic principle component analysis(PPCA); Kernel probabilistic principle component; analysis (KPPCA);
机译:用于估算远程微波传感器交通流量数据的空间Copula模型
机译:制定估算丢失流量数据的策略
机译:制定估算丢失流量数据的策略
机译:时空张量补全,用于估算丢失的互联网流量数据
机译:解决牙科研究中的空间依赖性和数据丢失
机译:从远程微波传感器估算交通流量数据的空间Copula模型
机译:具有缺失数据的交通流量预测,由张量完成方法施加