Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area, Antalya, Turkey
M Ada, BT San - Natural Hazards, 2018 - Springer
The aim of this study is to make a comparison of the performances of two machine-learning
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
[PDF][PDF] Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area, Antalya …
M Ada, BT San - academia.edu
The aim of this study is to make a comparison of the performances of two machine-learning
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area, Antalya, Turkey.
M Ada, BT San - Natural Hazards, 2018 - search.ebscohost.com
The aim of this study is to make a comparison of the performances of two machine-learning
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area, Antalya, Turkey
M Ada, BT San - Natural Hazards: Journal of the International …, 2018 - econpapers.repec.org
The aim of this study is to make a comparison of the performances of two machine-learning
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area, Antalya, Turkey
M Ada, BT San - Natural Hazards, 2018 - search.proquest.com
The aim of this study is to make a comparison of the performances of two machine-learning
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area, Antalya, Turkey
M Ada, BT San - Natural Hazards: Journal of the International …, 2018 - ideas.repec.org
The aim of this study is to make a comparison of the performances of two machine-learning
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
[引用][C] Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area, Antalya …
M Ada, BT San - Natural Hazards, 2018 - ui.adsabs.harvard.edu
Comparison of machine-learning techniques for landslide susceptibility mapping using two-level
random sampling (2LRS) in Alakir catchment area, Antalya, Turkey - NASA/ADS Now on home …
random sampling (2LRS) in Alakir catchment area, Antalya, Turkey - NASA/ADS Now on home …
Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area, Antalya, Turkey
M Ada, BT San - Natural hazards, 2018 - safetylit.org
The aim of this study is to make a comparison of the performances of two machine-learning
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area, Antalya, Turkey.
M Ada, BT San - 2018 - cabidigitallibrary.org
The aim of this study is to make a comparison of the performances of two machine-learning
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
algorithms that support vector machine (SVM) and random forest (RF) for landslide …
Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area, Antalya, Turkey
M Ada, BT San - Natural Hazards, 2018 - inis.iaea.org
[en] The aim of this study is to make a comparison of the performances of two machine-
learning algorithms that support vector machine (SVM) and random forest (RF) for landslide …
learning algorithms that support vector machine (SVM) and random forest (RF) for landslide …