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Bridging the Gap between Distance and Generalization

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Bridging the Gap between Distance and Generalization

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Estruch Gregori, V.; Ferri Ramírez, C.; José Hernández-Orallo; Ramírez Quintana, MJ. (2012). Bridging the Gap between Distance and Generalization. Computational Intelligence. doi:10.1111/coin.12004

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/34946

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Title: Bridging the Gap between Distance and Generalization
Author: Estruch Gregori, Vicente Ferri Ramírez, César José Hernández-Orallo Ramírez Quintana, María José
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Distance-based and generalization-based methods are two families of artificial intelligence techniques that have been successfully used over a wide range of real-world problems. In the first case, general algorithms can ...[+]
Subjects: Learning from structured data representations , Comprehensible models , Distance-based methods , Generalization operators , Minimal generalization
Copyrigths: Cerrado
Computational Intelligence. (issn: 0824-7935 ) (eissn: 1467-8640 )
DOI: 10.1111/coin.12004
Publisher version: http://dx.doi.org/10.1111/coin.12004
Project ID:
Spanish MICINN (TIN2010-21062-C02-02)
Generalitat Valenciana (PROMETEO/2008/051)
Agreement Technologies (Consolider Ingenio CSD2007-00022)
We would like to thank the anonymous reviewers for their insightful comments. This work has been partially supported by the EU (FEDER) and the Spanish MICINN, under grant TIN2010-21062-C02-02, the Spanish project "Agreement ...[+]
Type: Artículo

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