US Patent Issued to Verizon Patent and Licensing on July 7 for "Systems and methods for providing fairness measures for regression machine learning models based on estimating conditional densities using gaussian mixtures" (Virginia, North Carolina Inventors)

ALEXANDRIA, Va., July 7 -- United States Patent no. 12,675,738, issued on July 7, was assigned to Verizon Patent and Licensing Inc. (Basking Ridge, N.J.).

"Systems and methods for providing fairness measures for regression machine learning models based on estimating conditional densities using gaussian mixtures" was invented by Wei Sun (Fairfax, Va.), Joshua Scott Andrews (Raleigh, N.C.) and Xuning Tang (Mclean, Va.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A device may receive sensitive attribute data, model prediction data, and true target data associated with a regression machine learning model, and may determine quantities of Gaussian components for Gaussian mixtures. The device may generate Gaussia...