US Patent Issued to International Business Machines on Sept. 23 for "Class-specific predictor importance" (Chinese Inventors)

ALEXANDRIA, Va., Sept. 23 -- United States Patent no. 12,423,619, issued on Sept. 23, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Class-specific predictor importance" was invented by Lei Tian (Xi'an, China), Han Zhang (Xi'an, China), Ning Zhang (Xi'an, China), Na Zhao (Xi'an, China), Li Na Wang (Xi'an, China) and Rong Hong Wan (Xi'an, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "Determining a class-specific predictor indicator importance can include generating, using machine learning, a prediction model having a tree structure including nodes, class label subgroups, and class-specific predictor indicators. A class-specific predictor indicator importance can be generated for...