ALEXANDRIA, Va., March 17 -- United States Patent no. 12,579,427, issued on March 17, was assigned to Microsoft Technology Licensing LLC (Redmond, Wash.).
"Embedding optimization for machine learning models" was invented by Xiangyu Zhao (Hong Kong), Sida Wang (Cupertino, Calif.), Huiji Gao (Sunnyvale, Calif.), Bo Long (Palo Alto, Calif.), Bee-Chung Chen (San Jose, Calif.), Weiwei Guo (Foster City, Calif.) and Jun Shi (Fremont, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Methods, systems, and computer programs are presented for determining parameters of neural networks and selecting embedding dimensions for the feature fields. One method includes an operation for initializing parameters of a neural ...