Evaluation of SVM Binary Classification with Nonparametric Stochastic Simulations

The quality of Support Vector Machines binary classification of spatial environmental data is evaluated with geostatistical nonparametrtic conditional stochastic simulations. Equally probable realizations are generated and compared with SVM. Case study is based on the classification of porosity data. Results obtained confirm the efficiency of the SVM binary classification of spatial data


Year:
2001
Publisher:
idiap
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 Record created 2006-03-10, last modified 2018-03-17

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