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Functional robust support vector machines for sparse and irregular longitudinal data

Functional and longitudinal data are becoming more and more common in practice. This paper focuses on sparse and irregular longitudinal data with a multicategory response. The predictor consists of sparse and irregular observations, potentially contaminated with measurement errors, on the predictor...

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Detalles Bibliográficos
Main Authors: Wu, Yichao, Liu, Yufeng
Formato: Artigo
Idioma:Inglês
Publicado: 2012
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC3668975/
https://ncbi.nlm.nih.gov/pubmed/23734071
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2012.680823
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