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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Title
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
Authors
Keywords
Landslide, GIS, Support vector machines, Neural network, Kernel logistic regression, Decision trees, Son La hydropower
Journal
Landslides
Volume 13, Issue 2, Pages 361-378
Publisher
Springer Nature
Online
2015-01-26
DOI
10.1007/s10346-015-0557-6
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