On Cross-Series Machine Learning Models
Sparse high dimensional time series are common in industry, such as in supply chain demand and retail sales. Accurate and reliable forecasting of high dimensional time series is essential for supply chain planning and business management. In practical applications, sparse high dimensional time serie...
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| Format: | Others |
| Language: | English |
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W&M ScholarWorks
2020
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| Online Access: | https://scholarworks.wm.edu/etd/1616444550 https://scholarworks.wm.edu/cgi/viewcontent.cgi?article=7096&context=etd |