US Patent Issued to Actimize on May 13 for "Systems and methods for unsupervised feature selection for online machine learning" (Israeli Inventor)

ALEXANDRIA, Va., June 12 -- United States Patent no. 12,299,542, issued on May 13, was assigned to Actimize Ltd. (Ra'anana, Israel).

"Systems and methods for unsupervised feature selection for online machine learning" was invented by Danny Butvinik (Haifa, Israel).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for unsupervised feature selection for online machine learning are provided. Features can be selected from a plurality of online data sources having a plurality of respective online data streams, and an aggregated feature set and aggregated data can be formed therefrom. The aggregated feature set and the aggregated data can be used by machine learning models in real time to provide r...