Semi-Supervised Hierarchical Multi-Label Classifier Based on Local Information

arXiv:2405.00184v1 Announce Type: new
Abstract: Scarcity of labeled data is a common problem in supervised classification, since hand-labeling can be time consuming, expensive or hard to label; on the other hand, large amounts of unlabeled information can be found. The problem of scarcity of labeled data is even more notorious in hierarchical classification, because the data of a node is split among its children, which results in few instances associated to the deepest nodes of the hierarchy. In this work …

abstract arxiv classification classifier cs.lg data found hierarchical information labeling q-bio.qm semi-supervised type