ALEXANDRIA, Va., Feb. 17 -- United States Patent no. 12,555,031, issued on Feb. 17, was assigned to International Business Machines Corp. (Armonk, N.Y.).
"Feature generation for training data sets based on unlabeled data" was invented by Jing Xu (Xi'an, China), Si Er Han (Xi'an, China), Xue Ying Zhang (Xi'an, China), Steven George Barbee (Amenia, N.Y.) and Ji Hui Yang (Beijing).
According to the abstract* released by the U.S. Patent & Trademark Office: "A computer implemented method for machine learning model training. A number of processor units creates a cluster model comprising labeled samples and unlabeled samples. The number of processor units identifies cluster information for the labeled samples from the cluster model. The number o...