US Patent Issued to International Business Machines on June 30 for "Machine learning for non-imaging data using task-dependent feature dependencies" (American, Swiss Inventors)

ALEXANDRIA, Va., July 16 -- United States Patent no. 12,670,231, issued on June 30, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Machine learning for non-imaging data using task-dependent feature dependencies" was invented by Hongzhi Wang (Santa Bruno, Calif.), Andrea Giovannini (Zurich), Kristen Beck (San Jose, Calif.) and Tanveer Syeda-Mahmood (Cupertino, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Machine learning using dependency priors includes determining task-dependent feature dependencies for a group of features extracted from non-imaging data received with the computer hardware. The non-imaging data can be reformatted based on the task-dependent feature dependenci...