Verfahren, Vorrichtung und System zum Progressiven Training von sich Entwickelnden Maschinenlernarchitekturen

Details

Veröffentlichungs-Nr.

EP3876165

Aktenzeichen

EP21160242

Anmeldetag

2. März 2021

Veröffentlichung

19. Januar 2022

Rechtsraum

EP

IPC

G06N3/08G06N3/04

Abstract

An approach is provided for progressive training of long-lived, evolving machine learning architectures. The approach involves, for example, determining alternative paths for the evolution of the machine learning model from a first architecture to a second architecture. The approach also involves determining one or more migration step alternatives in the alternative paths. The migration steps, for instance, include architecture options for the evolution of the machine learning model. The approach further involves processing data using the options to determine respective model performance data. The approach further involves selecting a migration step from the one or more migration step alternatives based on the respective model performance data to control a rate of migration steps over a rate of training in the evolution of the machine learning model. The approach further involves initiating a deployment the selected migration step to the machine learning model.

Anmelder

Firma

HERE Global B.V.

Land

🇳🇱 Niederlande

Fachgebiete