Tuning support vector machines regression models improves prediction accuracy of soil properties in MIR spectroscopy

Title
Tuning support vector machines regression models improves prediction accuracy of soil properties in MIR spectroscopy
Authors
Keywords
Machine-learning, Kernel, Error-grid, FTIR, RMSE
Journal
GEODERMA
Volume 365, Issue -, Pages 114227
Publisher
Elsevier BV
Online
2020-02-05
DOI
10.1016/j.geoderma.2020.114227

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