Abstimmung von Anomaliedetektionsbedingungen

Details

Veröffentlichungs-Nr.

EP4773010

Anmeldetag

15. Dezember 2025

Veröffentlichung

8. Juli 2026

Rechtsraum

EP

IPC

G06F11/00, G06N3/09, G06N20/00

Abstract

An anomaly detection model is tuned by training an anomaly detection condition tuning model using features of training input data provided to the anomaly detection model, training anomaly detection conditions used by the anomaly detection model to identify a detected anomaly in the training input data, and training data feedback identifying the detected anomaly as true or false. A first tuned training data condition is extracted for each feature by executing the anomaly detection condition tuning model on the features. A condition regression model is trained using second training data including the features of the training input data and each first tuned training data condition. Second tuned anomaly detection conditions are generated by executing the condition regression model on the new input data. The anomaly detection model is executable on the new input data using the second tuned anomaly detection conditions to identify an anomaly in the new input data.

Anmelder

Firma

Microsoft Technology Licensing, LLC

Land

🇺🇸 USA

Fachgebiete