uninformative variable elimination
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Determination of the contents of magnesium and potassium in rapeseeds using FTIR-PAS combined with least squares support vector machines and uninformative variable elimination

2014 ◽  
Vol 6 (8) ◽  
pp. 2586-2591 ◽  
Author(s):  
Yuzhen Lu ◽  
Changwen Du ◽  
Changbing Yu ◽  
Jianmin Zhou
Keyword(s):  
Fourier Transform ◽  
Support Vector Machines ◽  
Photoacoustic Spectroscopy ◽  
Support Vector ◽  
Mid Infrared ◽  
Variable Elimination ◽  
Vector Machines ◽  
Infrared Photoacoustic Spectroscopy ◽  
Uninformative Variable Elimination

Fourier transform mid-infrared photoacoustic spectroscopy (FTIR-PAS) was employed to determine the contents of magnesium and potassium in rapeseeds.

A combination algorithm for variable selection to determine soluble solid content and firmness of pears

2014 ◽  
Vol 6 (7) ◽  
pp. 2170-2180 ◽  
Author(s):  
Jiangbo Li ◽  
Chunjiang Zhao ◽  
Wenqian Huang ◽  
Chi Zhang ◽  
Yankun Peng
Keyword(s):  
Monte Carlo ◽  
Variable Selection ◽  
Solid Content ◽  
New Combination ◽  
Soluble Solid Content ◽  
Successive Projections Algorithm ◽  
Variable Elimination ◽  
Soluble Solid ◽  
Uninformative Variable Elimination ◽  
Successive Projections

A new combination of Monte Carlo-uninformative variable elimination and the successive projections algorithm (MC-UVE-SPA) was proposed to select the most effective variables.

Model of Total Nitrogen and Total Sugar in Tobacco Optimizing after Uninformative Variable Elimination

2013 ◽  
Vol 41 (6) ◽  
pp. 917
Author(s):  
Qian-Qian LI ◽  
Kuang-Da TIAN ◽  
Zu-Hong LI ◽  
Bo ZHENG ◽  
Yan-Qing LAI ◽  
...  
Keyword(s):  
Total Nitrogen ◽  
Total Sugar ◽  
Variable Elimination ◽  
Uninformative Variable Elimination
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