Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting

18 Jun 2020 Xinyu Chen Lijun Sun

Time series prediction has been a long-standing research topic and an essential application in many domains. Modern time series collected from sensor networks (e.g., energy consumption and traffic flow) are often large-scale and incomplete with considerable corruption and missing values, making it difficult to perform accurate predictions... (read more)

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