scholarly journals Estimating Returns to Education of Chinese Residents: Evidence from Optimal Model Selection

2014 ◽  
Vol 31 ◽  
pp. 211-220 ◽  
Author(s):  
Yi Hu ◽  
Dongmei Guo ◽  
Shouyang Wang
Keyword(s):  
Model Selection ◽  
Returns To Education ◽  
Optimal Model

Multiple order model migration and optimal model selection for online glucose prediction in Type 1 diabetes

AIChE Journal ◽  
2017 ◽  
Vol 64 (3) ◽  
pp. 822-834 ◽  
Author(s):  
Hong Zhao ◽  
Chunhui Zhao ◽  
Chengxia Yu ◽  
Eyal Dassau
Keyword(s):  
Type 1 Diabetes ◽  
Model Selection ◽  
Optimal Model ◽  
Order Model ◽  
Model Migration ◽  
Selection For ◽  
Glucose Prediction

scholarly journals A k-Nearest Neighbours Based Ensemble via Optimal Model Selection for Regression

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 132095-132105 ◽  
Author(s):  
Amjad Ali ◽  
Muhammad Hamraz ◽  
Poom Kumam ◽  
Dost Muhammad Khan ◽  
Umair Khalil ◽  
...  
Keyword(s):  
Model Selection ◽  
Optimal Model ◽  
Nearest Neighbours ◽  
Selection For

scholarly journals Asymptotically optimal model selection method with right censored outcomes

Bernoulli ◽  
2004 ◽  
Vol 10 (6) ◽  
pp. 1011-1037 ◽  
Author(s):  
Sündüz Keles ◽  
Mark Van Der Laan ◽  
Sandrine Dudoit
Keyword(s):  
Model Selection ◽  
Selection Method ◽  
Optimal Model ◽  
Asymptotically Optimal ◽  
Model Selection Method

Study of Predictive Method Based on SVM Optimal Model Selection

2011 ◽  
Vol 65 ◽  
pp. 443-446
Author(s):  
Lch Gu ◽  
Zhw Ni ◽  
Zhj Wu
Keyword(s):  
Model Selection ◽  
Prediction Method ◽  
Computation Time ◽  
Kernel Matrix ◽  
Optimal Model ◽  
Model Framework ◽  
Wheat Scab ◽  
Predictive Method ◽  
Selection Of

The computation time consuming and poor efficiency of prediction exist in the model selection of traditional SVM. By studing on kernel matrix, a SVM-based prediction method for selecting the optimal model framework SVR-D1.2 was proposed with the help of the kernel matrix’s symmetry and positive definition and kernel alignment. The method was applied to the prediction of wheat scab, and comparison experiments were done with the main existing methods. The result shows the method has more efficiency and precision of prediction in the occurrence tendency of wheat scab. Meanwhile, it is simple, practicable.

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