A bootstrapping soft shrinkage approach and interval random variables selection hybrid model for variable selection in near-infrared spectroscopy

• Main Authors: Al-Kaf, H.A.G., Alduais, N.A.M., Saad, A.-M.H.Y., Chia, K.S., Mohsen, A.M., Alhussian, H., Mahdi, A.A.M.H., Salam, W.S.-I.W.
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102767657&doi=10.1109%2fACCESS.2020.3023681&partnerID=40&md5=41e6682f40ff94d66459a6cec9eec581; http://eprints.utp.edu.my/23380/

High dimensionality problem in spectra datasets is a significant challenge to researchers and requires the design of effective methods that can extract the optimal variable subset that can improve the accuracy of predictions or classifications. In this study, a hybrid variable selection method, base...