Regularization Methods in the Analysis of a Series of Scintillation Fluorescence Microscopy Images
Sign Up to like & getrecommendations! Published in 2021 at "Computational Mathematics and Modeling"
DOI: 10.1007/s10598-021-09520-3
Abstract: We consider the construction of high-resolution images from a time series of fluorescence microscopy images obtained using a scintillator. A regularization method is applied and the results are compared for various stabilizers, including the RED… read more here.
Keywords: microscopy; regularization methods; fluorescence microscopy; microscopy images ... See more keywords
General regularization framework for DEER spectroscopy.
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DOI: 10.1016/j.jmr.2019.01.008
Abstract: Tikhonov regularization is the standard processing technique for the inversion of double electron-electron resonance (DEER) data to distance distributions without assuming a parametrized model. In other fields it has been surpassed by modern regularization methods.… read more here.
Keywords: deer; framework; regularization methods; general regularization ... See more keywords
On regularization methods based on dynamic programming techniques
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DOI: 10.1080/00036810701354953
Abstract: In this article, we investigate the connection between regularization theory for inverse problems and dynamic programming theory. This is done by developing two new regularization methods, based on dynamic programming techniques. The aim of these… read more here.
Keywords: based dynamic; regularization methods; programming techniques; regularization ... See more keywords
Using Lasso and Adaptive Lasso to Identify DIF in Multidimensional 2PL Models.
Sign Up to like & getrecommendations! Published in 2022 at "Multivariate behavioral research"
DOI: 10.1080/00273171.2021.1985950
Abstract: Differential item functioning (DIF) analysis refers to procedures that evaluate whether an item's characteristic differs for different groups of persons after controlling for overall differences in performance. DIF is routinely evaluated as a screening step… read more here.
Keywords: lasso; adaptive lasso; lasso adaptive; regularization methods ... See more keywords
Evolutionary polynomial regression improved by regularization methods
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DOI: 10.1371/journal.pone.0282029
Abstract: Evolutionary polynomial regression (EPR) is a data mining tool that has been widely used in solving various geotechnical engineering problems. The fitness function is the core of EPR. However, overfitting may still occur in EPR,… read more here.
Keywords: regularization; polynomial regression; regularization methods; evolutionary polynomial ... See more keywords