US Patent Issued to Oracle International on July 21 for "Anomaly detection performance enhancement using gradient-based feature importance" (American, Canadian, Swiss Inventors)

ALEXANDRIA, Va., July 21 -- United States Patent no. 12,688,424, issued on July 21, was assigned to Oracle International Corp. (Redwood Shores, Calif.).

"Anomaly detection performance enhancement using gradient-based feature importance" was invented by Saeid Allahdadian (Vancouver, Canada), Yuting Sun (Bellevue, Wash.), Navaneeth Jamadagni (South San Francisco, Calif.), Felix Schmidt (Niederweningen, Switzerland) and Maria Vlachopoulou (Bellevue, Wash.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Herein are machine learning techniques that adjust reconstruction loss of a reconstructive model, such as a principal component analysis (PCA), based on importances of features. In an embodiment having a reconstru...