Towards a Logic-Based View of Some Approaches to Classification Tasks - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

Towards a Logic-Based View of Some Approaches to Classification Tasks

Résumé

This paper is a plea for revisiting various existing approaches to the handling of data, for classification purposes, based on a set-theoretic view, such as version space learning, formal concept analysis, or analogical proportion-based inference, which rely on different paradigms and motivations and have been developed separately. The paper also exploits the notion of conditional object as a proper tool for modeling if-then rules. It also advocates possibility theory for handling uncertainty in such settings. It is a first, and preliminary, step towards a unified view of what these approaches contribute to machine learning.
Fichier principal
Vignette du fichier
Towards a logic-based view of some approaches to.pdf (140.94 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03121888 , version 1 (27-01-2021)

Identifiants

Citer

Didier Dubois, Henri Prade. Towards a Logic-Based View of Some Approaches to Classification Tasks. 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2020), Jun 2020, Lisbonne, Portugal. pp.697-711, ⟨10.1007/978-3-030-50153-2_51⟩. ⟨hal-03121888⟩
50 Consultations
63 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More