ALEXANDRIA, Va., June 16 -- United States Patent no. 12,657,454, issued on June 16, was assigned to Salesforce Inc. (San Francisco).
"Systems and methods for unsupervised anomaly detection" was invented by Wenzhuo Yang (Singapore), Chu Hong Hoi (Singapore) and Kun Zhang (San Francisco).
According to the abstract* released by the U.S. Patent & Trademark Office: "Embodiments described herein provide a system and method for unsupervised anomaly detection. The system receives, via a communication interface, a dataset of instances that include anomalies. The system determines, via an inlier model, a set of noisy labels. The system trains a causality-based label-noise model based at least in part on the set of noisy labels and the set of high-c...