发明者
Florence Robert-régol, Yingxue Zhang, Mark Coates
发表日期
2021/8/12
专利局
US
专利申请号
16785477
简介
Method and system for processing an attributed graph that comprises a training dataset of labelled nodes and an unlabeled dataset of unlabeled nodes. The method and system includes selecting, using logistic regression, which candidate node from a plurality of possible candidate nodes included in the unlabeled dataset will minimize a risk if that candidate node is added to the training dataset; obtaining a label for the selected candidate node from a classification resource; and adding the selected candidate node and the obtained label to the training dataset as a labelled node to provide an enhanced training dataset.
引用总数
学术搜索中的文章
F Robert-régol, Y Zhang, M Coates - US Patent App. 16/785,477, 2021