Comparison of support vector machine classification to partial least squares dimension reduction with logistic descrimination of hyperspectral data

2003 ◽  
Author(s):  
Machelle Wilson ◽  
Susan L. Ustin ◽  
David Rocke
Keyword(s):  
Support Vector Machine ◽  
Dimension Reduction ◽  
Least Squares ◽  
Partial Least Squares ◽  
Hyperspectral Data ◽  
Support Vector ◽  
Support Vector Machine Classification

Early diagnosis of Alzheimer’s disease based on Partial Least Squares and Support Vector Machine

2013 ◽  
Vol 40 (2) ◽  
pp. 677-683 ◽  
Author(s):  
F. Segovia ◽  
J.M. Górriz ◽  
J. Ramírez ◽  
D. Salas-González ◽  
I. Álvarez
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Support Vector Machine ◽  
Early Diagnosis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Support Vector

Accuracy improvement of iron ore analysis using laser-induced breakdown spectroscopy with a hybrid sparse partial least squares and least-squares support vector machine model

2018 ◽  
Vol 33 (8) ◽  
pp. 1330-1335 ◽  
Author(s):  
Y. M. Guo ◽  
L. B. Guo ◽  
Z. Q. Hao ◽  
Y. Tang ◽  
S. X. Ma ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Least Squares ◽  
Partial Least Squares ◽  
Iron Ore ◽  
Support Vector Machine Model ◽  
Support Vector ◽  
Accuracy Improvement ◽  
Machine Model ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

A hybrid sparse partial least squares and least-squares support vector machine model was proposed to improve the accuracy of iron ore analysis using LIBS.

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