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dc.contributor.authorGarcía Laencina, Pedro José 
dc.contributor.authorSancho Gómez, José Luis 
dc.date.accessioned2010-09-15T09:07:33Z
dc.date.available2010-09-15T09:07:33Z
dc.date.issued2006-09
dc.identifier.citationGARCÍA LAENCINA, Pedro J., SANCHO GÓMEZ. José Luis. Red neural multitarea para problemas de decisión con información incompleta. En: Simposium Nacional de la Unión Científica Internacional de Radio (21º: 2006: Oviedo). Libro de resúmenes : XXI Simposium Nacional de la Unión Científica Internacional de Radio, U.R.S.I., Oviedo, 12-15 de septiembre de 2006. oviedo: Universidad. Escuela Politécnica Superior de Ingeniería (Gijón). 2006. 194-197 p. ISBN 84-611-2488-Xes
dc.identifier.isbn84-611-2488-X
dc.description.abstractMissing data is a common problem that appears in many real applications. Handling missing data is a essential requirement for pattern classification because inappropriate treatment of missing data may cause large errors or false results on classification. A classical approach is to estimate and fill the missing values. Up to now, proposed methods are efficient but they do not focus the missing data estimation to pattern classification. In this work, we propose a novel neural network that uses the advantages of Multitask Learning (MTL) to classify patterns with incomplete data. A MTL neural network learns at the same time the classification task and the different task associated to incomplete features. Missing data estimation is guided and oriented by the classification task during the MTL process. Obtained results based on real and artificial classification problems demonstrate the advantages of the proposed algorithm.es
dc.formatapplication/pdf
dc.language.isospaes
dc.publisherUniversidad de Oviedo. Escuela Politécnica Superior de Ingeniería (Gijón)es
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.titleRed neural multitarea para problemas de decisión con información incompletaes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.subjectRed neural multitareaes
dc.subjectAprendizaje multitareaes
dc.subjectClasificación de patroneses
dc.subjectInformación incompletaes
dc.subjectRed neuronal artificiales
dc.subjectNeural network multitaskes
dc.subjectMultitask learninges
dc.subjectPattern classificationes
dc.subjectIncomplete informationes
dc.subjectArtificial neural networkses
dc.subject.otherIngeniería Telemáticaes
dc.identifier.urihttp://hdl.handle.net/10317/1354
dc.contributor.investgroupGrupo Teoría y Tratamiento de la Señal (GTTS)es
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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