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Supervised Classification Using Homogeneous Logical Proportions for Binary and Nominal Features

Moraes, Ronei and Machado, Liliane and Prade, Henri and Richard, Gilles Supervised Classification Using Homogeneous Logical Proportions for Binary and Nominal Features. (2013) In: 18th Iberoamerican Congress on Pattern Recognition (CIARP 2013), 20 November 2013 - 23 November 2013 (Havana, Cuba).

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Official URL: http://dx.doi.org/10.1007/978-3-642-41822-8_21

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.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in Volume 8258 Lecture Notes in Computer Science ISSN : 0302-9743. ISBN: 978-3-642-41821-1. The original PDF is available at : http://link.springer.com/chapter/10.1007%2F978-3-642-41822-8_21
HAL Id:hal-01197280
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Universidade Federal da Paraíba (BRAZIL)
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Deposited By: IRIT IRIT
Deposited On:20 Jul 2015 12:59

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