ALEXANDRIA, Va., June 19 -- United States Patent no. 12,333,399, issued on June 17, was assigned to PepsiCo Inc. (Purchase, N.Y.).
"Anomaly detection using machine learning models and similarity regularization" was invented by Michael Imas (Purchase, N.Y.) and Ryan Saxe (Purchase, N.Y.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed herein are embodiments for anomaly detection using machine learning models (MLMs) and similarity regularization. An embodiment operates by obtaining data for a first product, a second product, and a target product. The data include a set of sparse data points for the target product. Next, similarity scores between the target product and the first product and the second p...