ALEXANDRIA, Va., Dec. 31 -- United States Patent no. 12,511,576, issued on Dec. 30, was assigned to Amazon Technologies Inc. (Seattle).
"Correcting time series predictions for seasonality with trends" was invented by Wei Niu (Bellevue, Wash.), Spyridon Garyfallos (Seattle), Vinay Kale (Seattle), Jing Zhang (Seattle), Thomas Boyd Johnston (Seattle) and Tak Chung Lung (Bellevue, Wash.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Correcting time series predictions for seasonality using trends may be performed. An initial time series prediction for a period of time using a machine learning model trained on a time series may be made. Data of the time series from more than an analysis time period prior to the pe...