A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS

标题
A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS
作者
关键词
Landslides, GIS, Sequential minimal optimization (SMO), Support vector machines (SVM), Vote feature intervals (VFI), India
出版物
Environmental Earth Sciences
Volume 76, Issue 10, Pages -
出版商
Springer Nature
发表日期
2017-05-17
DOI
10.1007/s12665-017-6689-3

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