EP 4381707 A1 20240612 - CONTROLLING AND ENSURING UNCERTAINTY REPORTING FROM ML MODELS
Title (en)
CONTROLLING AND ENSURING UNCERTAINTY REPORTING FROM ML MODELS
Title (de)
KONTROLLE UND SICHERSTELLUNG VON UNSICHERHEITSBERICHTEN VON ML-MODELLEN
Title (fr)
COMMANDE ET GARANTIE DE RAPPORT D'INCERTITUDE À PARTIR DE MODÈLES DE ML
Publication
Application
Priority
- US 202163229675 P 20210805
- EP 2022072135 W 20220805
Abstract (en)
[origin: WO2023012351A1] Systems and methods related to controlling and ensuring uncertainty reporting from Machine Learning (ML) models are disclosed. In one embodiment, a method performed by a first node comprises sending, to a second node, one or more output predictions from a first ML model together with uncertainty information about the one or more output predictions. In this manner, the robustness and/or consistency of models and/or procedures that use the one or more output predictions can be improved. Corresponding embodiments of a first node are also disclosed. Embodiments of a second node and methods of operation thereof are also disclosed.
IPC 8 full level
H04L 41/147 (2022.01); G06N 3/02 (2006.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); H04L 41/16 (2022.01); H04L 43/06 (2022.01); H04L 43/08 (2022.01); H04W 24/02 (2009.01)
CPC (source: EP)
G06N 3/047 (2023.01); G06N 20/10 (2018.12); H04L 41/147 (2013.01); H04L 41/16 (2013.01); H04W 24/02 (2013.01); G06N 3/0455 (2023.01); G06N 5/01 (2023.01); G06N 7/01 (2023.01); G06N 20/20 (2018.12); H04L 43/06 (2013.01); H04L 43/08 (2013.01)
Citation (search report)
See references of WO 2023012351A1
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
Designated validation state (EPC)
KH MA MD TN
DOCDB simple family (publication)
DOCDB simple family (application)
EP 2022072135 W 20220805; EP 22762028 A 20220805