We present a novel algorithm that goes beyond hierarchical classification and estimates the latent semantic space that underlies the class hierarchy. In this ...

In this paper, we propose a novel algorithm to reconstruct classification schemes according to the document density and category distribution, and to transform ...

Applications of multi-class classification, such as document categorization, often appear in cost-sensitive settings. Recent work has significantly improved ...

Applications of multi-class classification, such as document categorization, often appear in cost-sensitive settings. Recent work has significantly improved ...

Large Margin Taxonomy Embedding for Document Categorization ; Figure 2: The schematic layout of the large-margin embedding of the taxonomy and the documents. ; As ...

This work presents a novel algorithm that goes beyond hierarchical classification and estimates the latent semantic space that underlies the class hierarchy ...

Dec 8, 2008 · We present a novel algorithm that goes beyond hierarchical classification and estimates the latent semantic space that underlies the class ...

A supervised regression algorithm called taxem (taxonomy embedding) is presented. The algorithm learns the regression for the documents and ...

Feb 29, 2024 · Hierarchical text classification aims to categorize each document into a set of classes in a label taxonomy. ... large margin. We will conduct a ...

initially proposed a taxonomy embedding to achieve document categorization and derive the em- beddings of taxonomies of topics in form of topic prototypes.