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Advanced analysis and modelling tools for spatial environmental data. Case study: indoor radon data in Switzerland
Sh@ring – EnviroInfo 2004
The present work deals with development and adaptation of advanced geostatistical models and machine learning algorithms (statistical learning theory – Support Vector Machines) for comprehensive analysis and decision-oriented modelling of environmental spatial data. The real case study is based on indoor radon data. The ...