The principal aim of this paper is to make a review of main statistical methods for classifying documents that could be easily adapted in the context of Web ...
These heuristics are the m-estimate, the F -measure, and the Klösgen measures. The main goals of this work are to extend our understand- ing of these heuristics ...
User Centric Hierarchical Classification and Associated Evaluation Measures for Document Retrieval ; Publikationstyp. ConferencePaper ; Erscheinungsdatum. 2005.
User Centric Hierarchical Classification and Associated Evaluation Measures for Document Retrieval · Angaben zum Objekt · Beteiligte, Orts- und Zeitangaben.
This paper reviews the main evaluation metrics proposed in the literature to evaluate hierarchical clas-sification models.
Jan 11, 2024 · In this paper, we introduce a user-centric and interactive framework that enables a holistic understanding of AI systems.
Jun 28, 2013 · This paper studies the problem of evaluation in hierarchical classification by analyzing and abstracting the key components of the existing performance ...
Missing: Centric Document Retrieval.
Evaluating hierarchical machine learning approaches to classify ...
pmc.ncbi.nlm.nih.gov › PMC9310517
Jun 21, 2022 · Over the years, many hierarchical classification methods have been proposed, including new evaluation metrics [11] and deep learning approaches ...
Nov 17, 2021 · The main difference, however, is that we focus on developing effective document retrieval models rather than on the evaluation framework itself.
Abstract. In order to organize huge document collections, labeled hi- erarchical structures are used frequently. Users are most efficient in nav-.
Missing: Centric | Show results with:Centric