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 [BibTeX] [Marc21]
Spatial Data Mapping with Support Vector Regression
Type of publication: Idiap-RR
Citation: AdvancedSVM:rr-00-09
Number: Idiap-RR-09-2000
Year: 2000
Institution: IDIAP
Abstract: The paper deals with the novel application of Support Vector Regression (SVR) for the analysis and modelling of spatially distributed environmental data. Mapping of soil pollution is considered as a real case study. Variography is widely used to control the performance of the machines. Geostatistical explanations for the SVR hyperparameters are given. Obtained results demonstrate flexibility and efficiency of SVR application to spatial data.
Userfields: ipdmembership={learning},
Projects Idiap
Authors Kanevski, Mikhail
Canu, St├ęphane
Added by: [UNK]
Total mark: 0
  • rr00-09.pdf