Global and local neural network ensembles

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Show simple item record Sierra, Alejandro Santa Cruz, Carlos
dc.contributor.other UAM. Departamento de Ingeniería Informática es_ES 2015-02-09T19:25:50Z 2015-02-09T19:25:50Z 1998-07-06
dc.identifier.citation Pattern Recognition Letters 19.8 (1998): 651 – 655 en_US
dc.identifier.issn 0167-8655 (print) en_US
dc.identifier.issn 1872-7344 (online) en_US
dc.description This is the author’s version of a work that was accepted for publication in Pattern Recognition Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Pattern Recognition Letters, 19, 8, (1998) DOI: 10.1016/S0167-8655(98)00042-7 en_US
dc.description.abstract Surprisingly simple local learning algorithms are known to outperform many other global non linear machines Unfortunately these algorithms are computationally costly A means of assembling both learning ap proaches is proposed in this letter and shown to enhance performance en_US
dc.format.extent 10 pág. es_ES
dc.format.mimetype application/pdf en
dc.language.iso eng en
dc.publisher Elsevier BV en_US
dc.relation.ispartof Pattern Recognition Letters en_US
dc.rights © 1998 Elsevier B.V. All rights reserved en_US
dc.subject.other Neural Network Ensemble en_US
dc.subject.other Global Neural Network en_US
dc.subject.other Local Neural Network en_US
dc.subject.other Handwritten Digit Recognition en_US
dc.title Global and local neural network ensembles en_US
dc.type article en_US
dc.subject.eciencia Informática es_ES
dc.identifier.doi 10.1016/S0167-8655(98)00042-7
dc.identifier.publicationfirstpage 651
dc.identifier.publicationissue 8
dc.identifier.publicationlastpage 655
dc.identifier.publicationvolume 19
dc.type.version info:eu-repo/semantics/acceptedVersion en Aprendizaje Automático (ING EPS-001) es_ES Reconocimiento – NoComercial – SinObraDerivada es_ES
dc.rights.accessRights openAccess en
dc.authorUAM Santa Cruz Fernández, Carlos (260561)

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