Credit Risk Evaluation Using a Multistage SVM Ensemble Learning Approach

2008 ◽  
pp. 135-155
2010 ◽  
Vol 37 (2) ◽  
pp. 1351-1360 ◽  
Author(s):  
Lean Yu ◽  
Wuyi Yue ◽  
Shouyang Wang ◽  
K.K. Lai

Synlett ◽  
2020 ◽  
Author(s):  
Akira Yada ◽  
Kazuhiko Sato ◽  
Tarojiro Matsumura ◽  
Yasunobu Ando ◽  
Kenji Nagata ◽  
...  

AbstractThe prediction of the initial reaction rate in the tungsten-catalyzed epoxidation of alkenes by using a machine learning approach is demonstrated. The ensemble learning framework used in this study consists of random sampling with replacement from the training dataset, the construction of several predictive models (weak learners), and the combination of their outputs. This approach enables us to obtain a reasonable prediction model that avoids the problem of overfitting, even when analyzing a small dataset.


2021 ◽  
Author(s):  
Jingjing Tang ◽  
Jiahui Li ◽  
Weiqi Xu ◽  
Yingjie Tian ◽  
Xuchan Ju ◽  
...  

2021 ◽  
Author(s):  
Lun Du ◽  
Xiaozhou Shi ◽  
Yanlin Wang ◽  
Ensheng Shi ◽  
Shi Han ◽  
...  

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