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Acquisition of a series of temperature-varied sample spectra to induce characteristic structural changes of components and selection of target-descriptive variables among them for multivariate analysis to improve accuracy File

Chang, Kyeol , Lee, Junghye , Jun, Chi-Hyuck , Chung, Hoeil

Article Issue Date2016-08 View0
Interleaved incremental association Markov blanket as a potential feature selection method for improving accuracy in near-infrared spectroscopic analysis File

Chang, Kyeol , Lee, Junghye , Jun, Chi-Hyuck , Chung, Hoeil

Article Issue Date2018-02 View2
Kernel-based calibration methods combined with multivariate feature selection to improve accuracy of near-infrared spectroscopic analysis File

Lee, Junghye , Chang, Kyeol , Jun, Chi-Hyuck , Cho, Rae-Kwang , Chung, Hoeil , Lee, Hyeseon

Article Issue Date2015-10 View7
Markov blanket feature selection to improve accuracy of a multivariate calibration model for spectral data

Lee, Junghye , Chang, Kyeol , Lee, Hyeseon , Jun, Chi-Hyuck , Chung, Hoeil

Conference Paper Issue Date2015-06-22 View4
Selection of variables in a series of spectra collected by continuously changing sample temperature to improve accuracy of multivariate analysis

Lee, Junghye , Chang, Kyeol , Chung, Hoeil , Lee, Hyeseon

Conference Paper Issue Date2015-06-22 View3
Support Vector Regression based Recursive Feature Elimination for Compositional Prediction of Naphtha by Near-infrared Spectroscopy

Lee, Junghye , Lee, Hyeseon , Chung, Hoeil

Conference Paper Issue Date2014-06-17 View4
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