A nonlinear aggregation type classifier

Authors
Cholaquidis, Alejandro; Fraiman, Jacob Ricardo; Kalemkerian, Juan; Llop Orzan, Pamela Nerina
Publication Year
2016
Language
English
Format
article
Status
Published version
Description
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, and a real data example is analyzed.
Fil: Cholaquidis, Alejandro. Universidad de la República. Facultad de Ciencias; Uruguay
Fil: Fraiman, Jacob Ricardo. Universidad de la República. Facultad de Ciencias; Uruguay
Fil: Kalemkerian, Juan. Universidad de la República. Facultad de Ciencias; Uruguay
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
Subject
FUNCTIONAL DATA
NON-LINEAR AGGREGATION
SUPERVISED CLASSIFICATION
Matemática Pura
Matemáticas
CIENCIAS NATURALES Y EXACTAS
Access level
Open access
License
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repository
CONICET Digital (CONICET)
Institution
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identifier
oai:ri.conicet.gov.ar:11336/70989