ALEXANDRIA, Va., Sept. 15 -- United States Patent no. 12,737,421, issued on Sept. 15, was assigned to Fair Isaac Corp. (Minneapolis).

"Interpretable feature discovery with grammar-based Bayesian optimization" was invented by Christopher Allan Ralph (Toronto), Gerald Fahner (Austin, Texas) and Liang Meng (San Rafael, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method, a system, and a computer program product for generating an interpretable set of features. One or more search parameters and one or more constraints on one or more search parameters for searching data received from one or more data sources are defined. The data received from one or more data sources is searched using the defined searc...