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      Prediction of landslide displacement with step-like behavior based on multialgorithm optimization and a support vector regression model

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      Landslides
      Springer Science and Business Media LLC

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          The Nature of Statistical Learning Theory

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            Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

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              A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

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                Author and article information

                Journal
                Landslides
                Landslides
                Springer Science and Business Media LLC
                1612-510X
                1612-5118
                March 2018
                September 3 2017
                March 2018
                : 15
                : 3
                : 475-488
                Article
                10.1007/s10346-017-0883-y
                cedcd6f5-40ec-47da-a762-6f2a69f19986
                © 2018

                http://www.springer.com/tdm

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