Semi-supervised co-selection: features and instances by a weighting approach - Archive ouverte HAL
Communication Dans Un Congrès Année : 2016

Semi-supervised co-selection: features and instances by a weighting approach

Raywat Makkhongkaew
Data Mining and Machine Learning
Khalid Benabdeslem
Data Mining and Machine Learning
Haytham Elghazel
Data Mining and Machine Learning

Domaines

Intelligence artificielle [cs.AI]

Raywat Makkhongkaew  : Connectez-vous pour contacter le contributeur

https://hal.science/hal-01340591

Soumis le : vendredi 1 juillet 2016-13:27:52

Dernière modification le : mercredi 4 septembre 2024-17:34:07

Fichier non déposé

Dates et versions

hal-01340591 , version 1 (01-07-2016)

Identifiants

  • HAL Id : hal-01340591 , version 1

Citer

Raywat Makkhongkaew, Khalid Benabdeslem, Haytham Elghazel. Semi-supervised co-selection: features and instances by a weighting approach. International Joint Conference on Neural Networks (IJCNN 2016), Jul 2016, Vancouver, Canada. ⟨hal-01340591⟩

Exporter

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

CNRS UNIV-LYON1 UNIV-LYON2 INSA-LYON EC-LYON LIRIS LABEXIMU INSA-GROUPE UDL
147 Consultations
0 Téléchargements

Partager

More