Supervised Classification Using Homogeneous Logical Proportions for Binary and Nominal Features - Archive ouverte HAL Access content directly
Conference Papers Year : 2013

Supervised Classification Using Homogeneous Logical Proportions for Binary and Nominal Features

Abstract

The notion of homogeneous logical proportions has been recently introduced in close relation with the idea of analogical proportion. The four homogeneous proportions have intuitive meanings, which can be related with classification tasks. In this paper, we proposed a supervised classification algorithm using homogeneous logical proportions and provide results for all. A final comparison with previous works using similar methodologies and with other classifiers is provided.
Fichier principal
Vignette du fichier
moraes_12866.pdf (215.71 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01197280 , version 1 (11-09-2015)

Identifiers

  • HAL Id : hal-01197280 , version 1
  • OATAO : 12866

Cite

Ronei Moraes, Liliane Machado, Henri Prade, Gilles Richard. Supervised Classification Using Homogeneous Logical Proportions for Binary and Nominal Features. 18th Iberoamerican Congress on Pattern Recognition (CIARP 2013), Nov 2013, Havana, Cuba. pp. 165-173. ⟨hal-01197280⟩
102 View
92 Download

Share

Gmail Mastodon Facebook X LinkedIn More