An evidential classifier based on feature selection and two-step classification strategy - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Pattern Recognition Année : 2015

An evidential classifier based on feature selection and two-step classification strategy

Résumé

In this paper, we investigate ways to learn efficiently from uncertain data using belief functions. In order to extract more knowledge from imperfect and insufficient information and to improve classification accuracy, we propose a supervised learning method composed of a feature selection procedure and a two-step classification strategy. Using training information, the proposed feature selection procedure automatically determines the most informative feature subset by minimizing an objective function. The proposed two-step classification strategy further improves the decision-making accuracy by using complementary information obtained during the classification process. The performance of the proposed method was evaluated on various synthetic and real datasets. A comparison with other classification methods is also presented.
Fichier principal
Vignette du fichier
PR-2015-fin.pdf (2.1 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01294268 , version 1 (29-03-2016)

Identifiants

Citer

Chunfeng Lian, Su Ruan, Thierry Denoeux. An evidential classifier based on feature selection and two-step classification strategy. Pattern Recognition, 2015, 48 (7), pp.2318-2327. ⟨10.1016/j.patcog.2015.01.019⟩. ⟨hal-01294268⟩
197 Consultations
286 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More