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Classification based on homogeneous logical proportions

Moraes, Ronei and Machado, Liliane and Prade, Henri and Richard, Gilles Classification based on homogeneous logical proportions. (2013) In: 33rd International Conference on Innovative Techniques and Applications of Artificial Intelligence (SGAI 2013), 12 December 2013 - 14 December 2013 (Cambridge, United Kingdom).

(Document in English)

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Official URL: http://dx.doi.org/10.1007/978-3-319-02621-3_4


A classification method based on a measure of analogical dissimilarity has been proposed some years ago by Laurent Miclet and his colleagues, which was giving very good results. We restart this study on a slightly different basis. Instead of estimating analogical dissimilarity, we use the logical definition of an analogical proportion. We also consider other related logical proportions and their link with analogical proportion. The paper reports on an ongoing work and contributes to a comparative study of the logical proportions predictive accuracy on a set of standard benchmarks coming from UCI repository. Logical proportions constitute an interesting framework to deal with binary and/or nominal classification tasks without introducing any metrics or numerical weights.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in "Research and Development in Intelligent Systems XXX" ; ISBN: 978-3-319-02620-6 ; The original PDF is available at : http://link.springer.com/chapter/10.1007%2F978-3-319-02621-3_4
HAL Id:hal-04082603
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 - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (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)
Laboratory name:
Deposited On:21 Jul 2015 08:49

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