ALEXANDRIA, Va., Feb. 11 -- United States Patent no. 12,547,930, issued on Feb. 10, was assigned to INTERNATIONAL BUSINESS MACHINES Corp. (Armonk, N.Y.).

"Feature selection and hyperparameter optimization using LDS" was invented by Akihiro Kishimoto (Setagaya, Japan) and Toshiyuki Hama (Setagaya, Japan).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method for simultaneous feature selection and hyperparameter optimization of non-linear models of machine learning is provided including setting a first solution having first hyperparameters and a first set of features of a plurality of features of a training data set, initializing a weight table providing a score for each feature of the fir...