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A Novel Support Vector Classifier for Longitudinal High-dimensional Data and Its Application to Neuroimaging Data
Recent technological advances have made it possible for many studies to collect high dimensional data (HDD) longitudinally, for example images collected during different scanning sessions. Such studies may yield temporal changes of selected features that, when incorporated with machine learning meth...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2011
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4189187/ https://ncbi.nlm.nih.gov/pubmed/25309639 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sam.10141 |
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