Automatische Erkennung von Instanzen, die von Netzwerkereignissen Beeinträchtigung Sind, unter Verwendung eines Maschinenlernmodells

Details

Veröffentlichungs-Nr.

EP4807555

Anmeldetag

12. November 2025

Veröffentlichung

16. September 2026

Rechtsraum

EP

Abstract

A machine learning model receives sequences of time series data representing a plurality of instances associated with an event in a cloud network. Each sequence of time series data can be projected into a high-dimensional space. Positional encoding is performed to add positional information to each sequence of time series data. Spatial attention weights are distributed across different timesteps in each sequence of time series data by the spatial attention layer to capture the local temporal structure of the sequence data. Context information encoding is performed on an output from the spatial attention layer by transformer encoder layers of the machine learning model. A representation of each sequence of time series data is generated based on outputs from the transformer encoder layers for predicting a probability that each instance is impacted by the event.

Anmelder

Firma

Lemon Inc.

Land

🇰🇾 KY