US Patent Issued to FMR on May 12 for "Predicting user attributes using uncertainty estimate modeling" (North Carolina, California Inventors)

ALEXANDRIA, Va., May 12 -- United States Patent no. 12,626,195, issued on May 12, was assigned to FMR LLC (Boston).

"Predicting user attributes using uncertainty estimate modeling" was invented by Christopher Fusting (Raleigh, N.C.), Lei Zhang (Chapel Hill, N.C.) and Wenlu Yan (Poway, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods and apparatuses are described for predicting user attributes using uncertainty estimate modeling. A server trains a plurality of machine learning (ML) models to predict a distribution of values for a plurality of user attributes. The server determines an uncertainty measure of the ML models for each user attribute based upon the predicted distribution of values. The ...