Notes on hierarchical ensemble methods for DAG-structured taxonomies

2014-06-17 · Giorgio Valentini

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.

📄 PDF Abstract BibTeX arXiv:1406.4472

Code (0)

등록된 구현이 없습니다.

Tasks

Classification General Classification Hierarchical Multi-label Classification Multi-Label Classification MUlTI-LABEL-ClASSIFICATION text-classification Text Classification

Hierarchical Text Classification with LLM-Refined Taxonomies

2026-01-26 · Jonas Golde, Nicolaas Jedema, Ravi Krishnan, Phong Le arxiv

Hierarchical text classification (HTC) depends on taxonomies that organize labels into structured hierarchies. However, many real-world taxonomies introduce ambiguities, such as identical leaf names under similar parent …

Text Classification

CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models

2023-06-08 · Potsawee Manakul, Yassir Fathullah, Adian Liusie, Vyas Raina 외

In this paper, we consider the challenge of summarizing patients' medical progress notes in a limited data setting. For the Problem List Summarization (shared task 1A) at the BioNLP Workshop 2023, we demonstrate that Cli…

Towards unstructured mortality prediction with free-text clinical notes

2019-11-19 · Mohammad Hashir, Rapinder Sawhney

Healthcare data continues to flourish yet a relatively small portion, mostly structured, is being utilized effectively for predicting clinical outcomes. The rich subjective information available in unstructured clinical …

Mortality Prediction Prediction

Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction

2019-10-15 · Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo

Predicting patient mortality is an important and challenging problem in the healthcare domain, especially for intensive care unit (ICU) patients. Electronic health notes serve as a rich source for learning patient repres…

Mortality Prediction Semantic correspondence Sentence

Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery

2025-09-28 · Zekun Wang, Ethan Haarer, Tianyi Zhu, Zhiyi Dai 외 arxiv

Inspired by the human ability to learn and organize knowledge into hierarchical taxonomies with prototypes, this paper addresses key limitations in current deep hierarchical clustering methods. Existing methods often tie…

Image Classification