公开(公告)号：US20250021880A1

公开(公告)日：2025-01-16

申请号：US18767837

申请日：2024-07-09

Applicant: Nokia Solutions and Networks Oy

Inventor： Dan Kushnir ,  Shiyun Xu

IPC: G06N20/00

Abstract: In some embodiments, there is provided receiving, as an input to a first machine learning model, a plurality of data; learning, by the first machine learning model and based at least on the plurality of data, a latent space; generating, based on the plurality of data and the latent space, a proximity graph, wherein label knowledge from labeled data is diffused on a plurality of nodes of the proximity graph; filtering, by the proximity graph, the plurality of nodes to provide a top k most uncertain nodes, wherein the top k most uncertain nodes form a subset of a plurality of unlabeled data; and providing the subset of the plurality of unlabeled data to a second machine learning model comprised in an active learning process. Related system, methods, and articles of manufacture are also disclosed.