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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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| Hoofdauteurs: | , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2012
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| Onderwerpen: | |
| Online toegang: | 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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