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dc.contributor.author
Cholaquidis, Alejandro  
dc.contributor.author
Kalemkerian, Juan  
dc.contributor.author
Fraiman, Ricardo  
dc.contributor.author
Llop Orzan, Pamela Nerina  
dc.contributor.other
Bongiorno, E. G.  
dc.contributor.other
Salinelli, E.  
dc.contributor.other
Goia, A.  
dc.contributor.other
Vieu, P.  
dc.date.available
2020-08-24T14:17:44Z  
dc.date.issued
2014  
dc.identifier.citation
Cholaquidis, Alejandro; Kalemkerian, Juan; Fraiman, Ricardo; Llop Orzan, Pamela Nerina; An optimal aggregation type classifier; Societa Editrice Esculapio; 2014; 1-280  
dc.identifier.isbn
978-8874887637  
dc.identifier.uri
http://hdl.handle.net/11336/112213  
dc.description.abstract
We introduce a nonlinear aggregation type classifier for functional data defined on a separable and complete metric space. The new rule is built up from a collection of M arbitrary training classifiers. If the classifiers are consistent, then so is the aggregation rule. Moreover, asymptotically the aggregation rule behaves as well as the best of the M classifiers. The results of a small simulation are reported both, for high dimensional and functional data.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Societa Editrice Esculapio  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CLASSIFICATION  
dc.subject
FUNCTIONAL DATA  
dc.subject
AGGREGATION  
dc.subject.classification
Estadística y Probabilidad  
dc.subject.classification
Matemáticas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
An optimal aggregation type classifier  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/bookPart  
dc.type
info:ar-repo/semantics/parte de libro  
dc.date.updated
2020-08-05T16:58:52Z  
dc.journal.pagination
1-280  
dc.journal.pais
Italia  
dc.description.fil
Fil: Cholaquidis, Alejandro. Universidad de la República. Facultad de Ciencias; Uruguay  
dc.description.fil
Fil: Kalemkerian, Juan. Universidad de la República. Facultad de Ciencias; Uruguay  
dc.description.fil
Fil: Fraiman, Ricardo. Universidad de la República. Facultad de Ciencias; Uruguay  
dc.description.fil
Fil: Llop Orzan, Pamela Nerina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.editrice-esculapio.com/contributions-in-infinite-dimensional-statistics-and-related-topics/  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.15651/978-88-748-8763-7  
dc.conicet.paginas
280  
dc.source.titulo
Contributions in infinite-dimensional statistics and related topics  

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