公开(公告)号：US20250028953A1

公开(公告)日：2025-01-23

申请号：US18604157

申请日：2024-03-13

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： JUNGHOON LEE ,  Cheol Ho Kim

IPC: G06N3/08

Abstract: Disclosed is a classifier learning system, which includes a classifier that trains training data having a feature space including a plurality of features based on a classification algorithm, a feature weight generation module that generates a feature weight based on an artificial neural network and an amount of mutual information between the plurality of features of the training data, and a data sampling module that generates sampling data by performing a feature space restoration operation based on the training data and a previous feature space of previous data on which the training is completed in the classifier, and the classifier trains the sampling data, and the classifier includes a plurality of feature-specific classifiers to which the feature weights corresponding to each of the plurality of features are assigned.