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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 mappi ...
We present a common probabilistic framework for kernel or spline smooth- ing methods, including popular architectures such as Gaussian processes and Support Vector machines. We identify the problem of unnormalized loss func- tions and suggest a general tec ...
