ALEXANDRIA, Va., Sept. 8 -- United States Patent no. 12,731,068, issued on Sept. 8, was assigned to International Business Machines Corp. (Armonk, N.Y.).
"Selecting representative features for machine learning models" was invented by Rafal Bigaj (Cracow, Poland), Lukasz G. Cmielowski (Cracow, Poland), Wojciech Sobala (Cracow, Poland) and Maksymilian Erazmus (Cracow, Poland).
According to the abstract* released by the U.S. Patent & Trademark Office: "A set of input features, each feature having a value, can be processed to determine pairwise correlations between features of the set. The features can be arranged into groups based on correlations with one another. Each feature can also be analyzed to determine a predictive value. A represent...