US Patent Issued on Sept. 1 for "Method and system for anomaly detection using mixture of machine learning models" (California Inventor)

ALEXANDRIA, Va., Sept. 1 -- United States Patent no. 12,726,399, issued on Sept. 1.

"Method and system for anomaly detection using mixture of machine learning models" was invented by Deepak Kakadia (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for anomaly detection in a network includes determining one or more root causes of faults or performance degradations in the network using network data from various sources; training a mixture of different machine learning models to detect anomalies associated with the determined root causes, wherein the training uses labeled data from the root cause determination; selecting the best performing anomaly detection models based on cr...