ALEXANDRIA, Va., March 24 -- United States Patent no. 12,585,996, issued on March 24, was assigned to Fair Isaac Corp. (Minneapolis).
"Explanatory dropout for machine learning models" was invented by Matthew Kennel (San Diego) and Scott Zoldi (San Diego).
According to the abstract* released by the U.S. Patent & Trademark Office: "Explanatory dropout systems and methods for improving a computer implemented machine learning model are provided using on-manifold/on-distribution evaluation of dropout of key features to explain model outputs. The machine learning model is trained using a plurality of input examples, including input records with explicit dropout operators applied effectuating the removal of influence of features associated with ...