ALEXANDRIA, Va., March 12 -- United States Patent no. 12,248,534, issued on March 11, was assigned to SAP SE (Walldorf, Germany).
"Automated feature engineering for predictive modeling using deep reinforcement learning" was invented by Mohamed Bouadi (La Garenne-Colombes, France) and Arta Alavi (Andresy, France).
According to the abstract* released by the U.S. Patent & Trademark Office: "Systems, methods, and computer-readable media for performing feature engineering on a dataset for predictive modeling are disclosed. A dataset may comprise a plurality of features that are used for the predictive model. The dataset may be fed to a neural network to determine which features have the greatest impact on the predictive model and which feature...