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Recursive Adaptive ECOC models

Elizabeth TapiaContact Information, José Carlos GonzálezContact Information, Javier García-VillalbaContact Information and Julio VillenaContact Information

(2)  Department of Telematics Engineering, Technical University of Madrid, Spain
(3)  Department of Informatic Systems, Complutense University of Madrid, Spain
Abstract
A general framework for the design of error adaptive learning algorithms in multiple output domains based on Dietterich’s ECOC approach, recursive error output correcting codes and iterative APP decoding methods is proposed. A particular class of these Recursive ECOC (RECOC) learning algorithms based on Low Density Parity Check is presented.

Contact Information Elizabeth Tapia
Email: etapia@gsi.dit.upm.es

Contact Information José Carlos González
Email: jgonzalez@gsi.dit.upm.es

Contact Information Javier García-Villalba
Email: javiergv@sip.ucm.es

Contact Information Julio Villena
Email: jvillena@gsi.dit.upm.es
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