US Patent Issued to Fair Isaac on Nov. 18 for "Constrained designed and guided latent feature space contributions to machine learning models" (California, Minnesota Inventors)

ALEXANDRIA, Va., Nov. 18 -- United States Patent no. 12,475,354, issued on Nov. 18, was assigned to Fair Isaac Corp. (Minneapolis).

"Constrained designed and guided latent feature space contributions to machine learning models" was invented by Scott Zoldi (San Diego), Maziar Yaesoubi (Roseville, Minn.), Keerthi Kancherla (Roseville, Minn.) and Todd Smith (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems, methods and products for quantitative translation of design requirements into a machine learning framework for training a classification model. A plurality of auxiliary tasks associated with a plurality of auxiliary task models are specified. The plurality of auxiliary task models are concurr...