US Patent Issued to PROS on Aug. 12 for "Machine learning techniques for generating predictions based on incomplete data" (American, German Inventors)

ALEXANDRIA, Va., Aug. 12 -- United States Patent no. 12,387,084, issued on Aug. 12, was assigned to PROS Inc. (Houston).

"Machine learning techniques for generating predictions based on incomplete data" was invented by Ezgi Eren (Bellaire, Texas), Jiabing Li (Fulshear, Texas), Jonas Rauch (Mannheim, Germany), Zhaoyang Zhang (Richmond, Texas), Royce Kallesen (Friendswood, Texas) and Ravi Kumar (Houston).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for training a prediction model are disclosed. An example method includes processing historical event data comprising a plurality of computer-readable events for a resource to determine previous parameters for the resource. The method also includes gener...