A discretization process in accordance with a qualitative ordered output

Francisco J. Ruiz, Cecilio Angulo, Núria Agell, Xari Rovira, Mónica Sánchez, Francesc Prats

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

Resum

This paper lies within the domain of supervised discretization methods. The methodology aims at identifying relevant interactions between input and output variables. A new supervised discretization algorithm that takes into account the qualitative ordinal structure of the output variable is proposed. Most existing supervised discretization methods are designed for pattern recognition problems and do not take into account this ordinal structure. A qualitative distance is constructed over the discrete structure of absolute orders of magnitude spaces. The algorithm presented implements a maximization process of this distance. A simple example allows interpretation of the process of choosing landmarks.

Idioma originalAnglès
Títol de la publicacióArtificial Intelligence Research and Development
Pàgines273-280
Nombre de pàgines8
Estat de la publicacióPublicada - 2005
Publicat externament
Esdeveniment8th Catalan Conference on Artificial Intelligence, CCIA 2005 - Alguer, Italy
Durada: 26 d’oct. 200528 d’oct. 2005

Sèrie de publicacions

NomFrontiers in Artificial Intelligence and Applications
Volum131
ISSN (imprès)0922-6389

Conferència

Conferència8th Catalan Conference on Artificial Intelligence, CCIA 2005
País/TerritoriItaly
CiutatAlguer
Període26/10/0528/10/05

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