Findings from University of Queensland in the Area of Machine Learning Described (Machine Learning Applications In Hierarchical Time Series Forecasting: Investi gating the Impact of Promotions)

Robotics & Machine Learning Daily News2024，Issue(MAY.15) ：87-88.

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Findings from University of Queensland in the Area of Machine Learning Described (Machine Learning Applications In Hierarchical Time Series Forecasting: Investi gating the Impact of Promotions)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting from Brisbane, Austra lia, by NewsRx journalists, research stated, “Hierarchical forecasting is needed in many situations in the supply chain to support decision making. Top-down, bo ttom-up, and optimal linear combination methods are common in hierarchical forec asting.”

Key words

Brisbane/Australia/Australia and New Zealand/Cyborgs/Emerging Technologies/Machine Learning/University of Queensland

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出版年

2024

Robotics & Machine Learning Daily News

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