ALEXANDRIA, Va., Aug. 12 -- United States Patent no. 12,386,717, issued on Aug. 12, was assigned to Zeta Global Corp. (New York).
"Ensemble models for anomaly detection" was invented by Danny Portman (Johns Creek, Ga.) and Zachary Jones (Decatur, Ga.).
According to the abstract* released by the U.S. Patent & Trademark Office: "The subject technology detects anomalies in media campaign configuration settings. The anomaly detection system may leverage one or more deep learning models to detect anomalies and identify particular configuration settings that contribute to the detected anomalies. In various embodiments, two or more of the deep learning models may be combined into an ensemble model that boosts the accuracy of anomaly predictions ...