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 [BibTeX] [Marc21]
Advanced Spatial Data Analysis and Modelling with Support Vector Machines
Type of publication: Idiap-RR
Citation: AdvancedSVM:rr-00-31
Number: Idiap-RR-31-2000
Year: 2000
Institution: IDIAP
Abstract: The research deals with the novel application of Support Vector Machines (Support Vector Classification and Support Vector Regression) for the analysis and modelling of spatial environmental data. Multiclass classification of soil types and pollution mapping are considered as real case studies. Geostatistical tools (variography) are used to control the performance of the machines.
Userfields: ipdmembership={learning},
Keywords:
Projects Idiap
Authors Kanevski, Mikhail
Pozdnoukhov, Alexei
Canu, St├ęphane
Maignan, Michel
Added by: [UNK]
Total mark: 0
Attachments
  • rr00-31.pdf
Notes