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Supervised linear classification of Gaussian spatio-temporal data
In this article we focus on the problem of supervised classifying of the spatio- temporal Gaussian random field observation into one of two classes, specified by different mean parameters. The main distinctive feature of the proposed approach is allowing the class label to depend on spatial location...
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| Gepubliceerd in: | Lietuvos matematikos rinkinys |
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| Hoofdauteurs: | , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Vilniaus Universitetas
2021
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| Onderwerpen: | |
| Online toegang: | https://www.redalyc.org/articulo.oa?id=692674114006 https://www.redalyc.org/journal/6926/692674114006/ https://www.redalyc.org/journal/6926/692674114006/html/ https://www.redalyc.org/journal/6926/692674114006/692674114006.epub https://www.redalyc.org/journal/6926/692674114006/movil https://doi.org/10.15388/LMR.2021.25214 |
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