US Patent Issued to International Business Machines on Feb. 3 for "Quantifying machine learning model uncertainty" (California Inventor)

ALEXANDRIA, Va., Feb. 3 -- United States Patent no. 12,541,571, issued on Feb. 3, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Quantifying machine learning model uncertainty" was invented by Amod Jog (Mountain View, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Evaluating machine learning model classifications, training a machine learning classification model using a training data set from a first data distribution, determining a classification for test data from a second data distribution using the machine learning classification model, wherein the first data distribution and the second data distribution are disjoint distributions, determining an uncertainty for the classif...