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dc.contributor.authorGarcía Laencina, Pedro José 
dc.contributor.authorVerdú Monedero, Rafael 
dc.contributor.authorSancho Gómez, José Luis 
dc.date.accessioned2009-02-12T08:45:17Z
dc.date.available2009-02-12T08:45:17Z
dc.date.issued2005-09
dc.identifier.citationGARCÍA LAENCIMA, Pedro José, VERDÚ MONEDERO, Rafael, SÁNCHO GÓMEZ, José Luis. Aprendizaje multitarea mediante arquitecturas neuronales basadas en subredes privadas. En: Simposium Nacional de la Unión Científica Internacional de Radio (20º: 2005: Gandia). XX Simposium Nacional de la URSI 2005. URSI 05, Gandia 14-16 de Septiembre 2005. Gandia: Universidad Politecnica de Valencia. 2005es
dc.description.abstractHuman learning frequently involves learning several tasks simultaneously; in particular, humans compare and contrast similar tasks for solving a problem. Nevertheless, most approaches to machine learning focus on the learning of a single isolated task, Single Task Learning (STL). Most of them can be formulated from learning several tasks related to the main task at the same time while using a shared representation, Multitask Learning (MTL). This type of learning improves generalization performance for a main task by using the information contained in other related tasks. In this article, we examine distinct schemes used in MTL, propose an new network architecture and test each scheme in two different problems. The proposed scheme makes use of private subnetworks to improve the performance of MTL.es
dc.description.sponsorshipEste trabajo está parcialmente financiado por el Ministerio de Educación y Ciencia a través del proyecto TIC2002-03033.es
dc.formatapplication/pdf
dc.language.isospaes
dc.publisherUniversidad Politécnica de Valenciaes
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.titleAprendizaje multitarea mediante arquitecturas neuronales basadas en subredes privadases
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.subjectModelos dualeses
dc.subjectAprendizaje multitareaes
dc.subjectArquitecturas neuronaleses
dc.subjectArquitectura asimétricaes
dc.subject.otherTeoría de la Señal y las Comunicacioneses
dc.identifier.urihttp://hdl.handle.net/10317/702


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