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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

      , , , ,
      Landslides
      Springer Nature

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          A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

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            The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan

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              A physically based model for the topographic control on shallow landsliding

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                Author and article information

                Journal
                Landslides
                Landslides
                Springer Nature
                1612-510X
                1612-5118
                April 2016
                January 27 2015
                April 2016
                : 13
                : 2
                : 361-378
                Article
                10.1007/s10346-015-0557-6
                42a0d9d5-ea31-4585-ae63-df4f3e0dacc7
                © 2016

                http://www.springer.com/tdm

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