ALEXANDRIA, Va., March 31 -- United States Patent no. 12,591,636, issued on March 31, was assigned to Google LLC (Mountain View, Calif.).
"Boosting and matrix factorization" was invented by Gang Wang (Frederick, Md.) and Pengyu He (Jersey City, N.J.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for presenting a new machine learning model architecture. In some aspects, the methods include obtaining a training dataset with a plurality of training samples that includes feature variables and output variables. A first matrix is generated using the training dataset which is a sparse representation of the training da...