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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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Bibliographic Details
Main Authors: Wu, Yichao, Liu, Yufeng
Format: Artigo
Language:Inglês
Published: 2012
Subjects:
Online Access: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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