Learning efficient error correcting output codes for large hierarchical multi-class problems - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2011

Learning efficient error correcting output codes for large hierarchical multi-class problems

Résumé

We describe a new approach for dealing with hierarchical classification with a large number of classes. We build on Error Correcting Output Codes and propose two algorithms that learn compact, binary, low dimensional class codes from a similarity information between classes. This allows building classification algorithms that performs similarly or better than the standard and performing one-vs-all approach, with much lower inference complexity.
Fichier principal
Vignette du fichier
Cisse2011.pdf (135.04 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01286789 , version 1 (06-10-2022)

Licence

Identifiants

  • HAL Id : hal-01286789 , version 1

Citer

Moustapha Cissé, Thierry Artières, Patrick Gallinari. Learning efficient error correcting output codes for large hierarchical multi-class problems. Workshop on Large Scale Hierarchical Classification (at ECML), Sep 2011, Athens, Greece. pp.37-48. ⟨hal-01286789⟩
2730 Consultations
25 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More