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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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Wu, Yichao, Liu, Yufeng
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2012
Schlagworte:
Online Zugang: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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