GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks
The main objective of this study is to propose and verify a novel ensemble methodology that could improve prediction performances of landslide susceptibility models. The proposed methodology is based on the functional tree classifier and three current state-of-the art machine learning ensemble frame...
Main Authors: | Bui, Dieu Tien, Ho, Tien Chung, Pradhan, Biswajeet, Pham, Binh Thai, Nhu, Viet Ha, Revhaug, Inge |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2016
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/54388/1/GIS-based%20modeling%20of%20rainfall-induced%20landslides%20using%20data%20mining-based%20.pdf |
Similar Items
-
Margin-based Ranking and an Equivalence between AdaBoost and RankBoost
by: Rudin, Cynthia, et al.
Published: (2010) -
Gradient boosted graph convolutional network on heterophilic graph
by: Seah, Ming Yang
Published: (2024) -
Implementation and control of a transformer-less quadratic boost converter
by: Wong, Jun Bo
Published: (2024) -
Inductor design for a buck boost converter
by: Yeo, Yee Jie
Published: (2024) -
Dynamic response improvement of a bidirectional interleaved buck-boost converter
by: Lei, Yihan
Published: (2024)