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
Karakaari 7
02610 Espoo, FI
Inventors
FEKI, Afef
12 rue Jean Bart
91300 Massy, FR
MASRI, Ahmad
Hatanpaan Valtatie 30
33100 Tampere, FI
ALIZADEH ASHRAFI, Mahmood Reza
Karakaari 13
02610 Espoo, FI
HASSAN, Sakira
Karakaari 13
02610 Espoo, FI
KOVÁCS, István Zsolt
Alfred Nobels Vej 27
9220 Aalborg, DK
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 | * |
| * | |
| * | |
International Searching Authority |
EPO
* |
| Applicant's Legal Status |
Legal Entity
* |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
* |
| Translation |
|
Recalculate
* 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 | Stages | Total | |
|---|---|---|---|
| China | Filing | 1309 | |
| EPO | Filing, Examination | 6541 | |
| Japan | Filing | 531 | |
| South Korea | Filing | 575 | |
| USA | Filing, Examination | 4435 |
Total: 13391 USD
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.