Notes on hierarchical ensemble methods for DAG-structured taxonomies
Artificial Intelligence
2014-06-19 v2 Machine Learning
Machine Learning
Abstract
Several real problems ranging from text classification to computational biology are characterized by hierarchical multi-label classification tasks. Most of the methods presented in literature focused on tree-structured taxonomies, but only few on taxonomies structured according to a Directed Acyclic Graph (DAG). In this contribution novel classification ensemble algorithms for DAG-structured taxonomies are introduced. In particular Hierarchical Top-Down (HTD-DAG) and True Path Rule (TPR-DAG) for DAGs are presented and discussed.
Cite
@article{arxiv.1406.4472,
title = {Notes on hierarchical ensemble methods for DAG-structured taxonomies},
author = {Giorgio Valentini},
journal= {arXiv preprint arXiv:1406.4472},
year = {2014}
}
Comments
12 pages, 3 figures. Typos corrected. Modified title and abstract. Added references and some changes