Blar i Brage NMBU på forfatter "Skogholt, Joakim"
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Baseline and interferent correction by the Tikhonov regularization framework for linear least squares modeling
Skogholt, Joakim; Liland, Kristian Hovde; Indahl, Ulf Geir (Journal article; Peer reviewed, 2018) -
Baseline and interferent correction by the Tikhonov regularization framework for linear least squares modeling
Skogholt, Joakim; Liland, Kristian Hovde; Indahl, Ulf Geir (Journal article; Peer reviewed, 2018) -
Efficient model selection in the Tikhonov Regularization framework and pre-processing of spectroscopic data
Skogholt, Joakim (PhD Thesis;2019:99, Doctoral thesis, 2019)Machine learning is a hot topic in today's society. Data sets of varying sizes show up in a number of contexts, and learning from data sets is important for answering many questions. There is a plethora of methods that can ... -
Preprocessing of spectral data in the extended multiplicative signal correction framework using multiple reference spectra
Skogholt, Joakim; Liland, Kristian Hovde; Indahl, Ulf Geir (Journal article; Peer reviewed, 2018) -
Selection of principal variables through a modified Gram–Schmidt process with and without supervision
Skogholt, Joakim; Liland, Kristian Hovde; Næs, Tormod; Smilde, Age K.; Indahl, Ulf Geir (Peer reviewed; Journal article, 2023)In various situations requiring empirical model building from highly multivariate measurements, modelling based on partial least squares regression (PLSR) may often provide efficient low-dimensional model solutions. In ... -
The canonical partial least squares approach to analysing multiway datasets—N-CPLS
Liland, Kristian Hovde; Indahl, Ulf Geir; Skogholt, Joakim; Mishra, Puneet (Peer reviewed; Journal article, 2022)