US Patent Issued to Intuit on Feb. 18 for "Uncertainty quantification for machine learning classification modelling" (California Inventor)

ALEXANDRIA, Va., Feb. 19 -- United States Patent no. 12,229,691, issued on Feb. 18, was assigned to Intuit Inc. (Mountain View, Calif.).

"Uncertainty quantification for machine learning classification modelling" was invented by Kamalika Das (Saratoga, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Certain aspects of the disclosure provide a method, comprising: processing input data with an ensemble of nonlinear machine learning models; generating a sparse high-dimensional embedding based on one or more leaf nodes of each nonlinear machine learning model in the ensemble of nonlinear machine learning models; projecting the high-dimensional embedding into a lower-dimensional embedding, wherein the lower-...