Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility Using ALOS/PALSAR Data
Band, S.S.; Janizadeh, S.; Saha, S.; Mukherjee, K.; Bozchaloei, S.K.; Cerdà, A.; Shokri, M.; Mosavi, A. Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility Using ALOS/PALSAR Data. Land 2020, 9, 346. https://doi.org/10.3390/land9100346
Band SS, Janizadeh S, Saha S, Mukherjee K, Bozchaloei SK, Cerdà A, Shokri M, Mosavi A. Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility Using ALOS/PALSAR Data. Land. 2020; 9(10):346. https://doi.org/10.3390/land9100346
Chicago/Turabian StyleBand, Shahab S.; Janizadeh, Saeid; Saha, Sunil; Mukherjee, Kaustuv; Bozchaloei, Saeid K.; Cerdà, Artemi; Shokri, Manouchehr; Mosavi, Amirhosein. 2020. "Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility Using ALOS/PALSAR Data" Land 9, no. 10: 346. https://doi.org/10.3390/land9100346