WO2024246826 - MACHINE LEARNING AWARE RELAXATION OF MEASUREMENTS REPORTING

National phase entry is expected:
Publication Number WO/2024/246826
Publication Date 05.12.2024
International Application No. PCT/IB2024/055298
International Filing Date 30.05.2024
Title **
[English] MACHINE LEARNING AWARE RELAXATION OF MEASUREMENTS REPORTING
[French] RELAXATION ADAPTÉE À L'APPRENTISSAGE AUTOMATIQUE DE RAPPORTS DE MESURES
Applicants **
NOKIA TECHNOLOGIES OY
Inventors
FEKI, Afef
MASRI, Ahmad
ALIZADEH ASHRAFI, Mahmood Reza
HASSAN, Sakira
KOVÁCS, István Zsolt
Priority Data
20235616   01.06.2023   FI
Application details
Total Number of Claims/PCT *
Number of Independent Claims *
Number of Priorities *
Number of Multi-Dependent Claims *
Number of Drawings *
Pages for Publication *
Number of Pages with Drawings *
Pages of Specification *
*
Number of Office Actions *
*
International Searching Authority
*
Recordal of a Change of the Applicant's Name/Address
*
Type of Assignment
*
Applicant's Legal Status
*
*
*
*
*
*
Entry into National Phase under
*
Patent Delivery
*
Translation

* The data is based on automatic recognition. Please verify and amend if necessary.

** IP-Coster compiles data from publicly available sources. If this data includes your personal information, you can contact us to request its removal.

Quotation for National Phase entry

Country StagesTotal
China Filing, Examination, Granting2270
EPO Filing, Examination, Granting11015
Japan Filing, Examination, Granting2307
South Korea Filing, Examination, Granting2380
USA Filing, Examination, Granting6540
MasterCard Visa
Total: 24,512

The term for entry into the National Phase has expired. This quotation is for informational purposes only

Contact Us
Abstract[English] Disclosed is a method comprising: performing measurements and providing them as an input to a machine learning model, determining that a measurement relaxation is applicable, and that the measurement relaxation causes changes to the input of the machine learning model, determining an adaptation for usage of the machine learning, determining if the adaptation for the usage of the machine learning causes performance to be in accordance with a targeted accuracy, and if yes, adapting the usage of the machine learning by updating the machine learning model, wherein the updating is compatible with the changes caused to the input of the machine learning model by the measurement relaxation, and performing measurements and their reporting in accordance with the measurement relaxation.[French] L'invention concerne un procédé consistant à : effectuer des mesures et les fournir comme entrée à un modèle d'apprentissage automatique, déterminer qu'une relaxation de mesure est applicable, et que la relaxation de mesure provoque des changements de l'entrée du modèle d'apprentissage automatique, déterminer une adaptation pour l'utilisation de l'apprentissage automatique, déterminer si l'adaptation de l'utilisation de l'apprentissage automatique amène les performances à être conformes à une précision ciblée, et si tel est le cas, adapter l'utilisation de l'apprentissage automatique par mise à jour du modèle d'apprentissage automatique, la mise à jour étant compatible avec les changements causés à l'entrée du modèle d'apprentissage automatique par la relaxation de mesure, et effectuer des mesures et leur rapport conformément à la relaxation de mesure.