scholarly journals Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general method

2021 ◽  
pp. 108220
Author(s):  
Owen Ren ◽  
Mohamed Ali Boussaidi ◽  
Dmitry Voytsekhovsky ◽  
Manabu Ihara ◽  
Sergei Manzhos
Keyword(s):  
Gaussian Process ◽  
Random Sampling ◽  
Gaussian Process Regression ◽  
Model Representation ◽  
High Dimensional ◽  
High Dimensional Model Representation ◽  
Dimensional Model ◽  
Lower Dimensional ◽  
General Method

Regularized random-sampling high dimensional model representation (RS-HDMR)

2007 ◽  
Vol 43 (3) ◽  
pp. 1207-1232 ◽  
Author(s):  
Genyuan Li ◽  
Herschel Rabitz ◽  
Jishan Hu ◽  
Zheng Chen ◽  
Yiguang Ju
Keyword(s):  
Random Sampling ◽  
Model Representation ◽  
High Dimensional ◽  
High Dimensional Model Representation ◽  
Dimensional Model

Random Sampling-High Dimensional Model Representation (RS-HDMR) and Orthogonality of Its Different Order Component Functions

2006 ◽  
Vol 110 (7) ◽  
pp. 2474-2485 ◽  
Author(s):  
Genyuan Li ◽  
Jishan Hu ◽  
Sheng-Wei Wang ◽  
Panos G. Georgopoulos ◽  
Jacqueline Schoendorf ◽  
...  
Keyword(s):  
Random Sampling ◽  
Model Representation ◽  
High Dimensional ◽  
High Dimensional Model Representation ◽  
Dimensional Model ◽  
Order Component ◽  
Different Order
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