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   Articles with "sparse regression" as a keyword



Unsupervised feature selection based on joint spectral learning and general sparse regression

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recommendations! Published in 2019 at "Neural Computing and Applications"

DOI: 10.1007/s00521-019-04117-9

Abstract: Unsupervised feature selection is an important machine learning task since the manual annotated data are dramatically expensive to obtain and therefore very limited. However, due to the existence of noise and outliers in different data… read more here.

Keywords: sparse regression; feature selection;
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Sparse regression modeling for short- and long‐term natural gas demand prediction

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recommendations! Published in 2021 at "Annals of Operations Research"

DOI: 10.1007/s10479-021-04089-x

Abstract: The multivariate adaptive regression splines (MARS) model is a flexible non-parametric sparse regression algorithm and provides an excellent promise to data fitting through nonlinear basis functions. During the last decades, it is employed in many… read more here.

Keywords: regression; short long; gas demand; sparse regression ... See more keywords

Novel mixed integer optimization sparse regression approach in chemometrics.

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recommendations! Published in 2020 at "Analytica chimica acta"

DOI: 10.1016/j.aca.2020.08.054

Abstract: Sparse mathematical modelling plays an increasingly important role in chemometrics due to its interpretability and prediction power. While many sparse techniques used in chemometrics rely on L1 penalization to create sparser models, Mixed Integer Optimization… read more here.

Keywords: sparse regression; sparse; mio; integer optimization ... See more keywords

Scaled sequential threshold least-squares (S2TLS) algorithm for sparse regression modeling and flight load prediction

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recommendations! Published in 2019 at "Aerospace Science and Technology"

DOI: 10.1016/j.ast.2018.12.038

Abstract: Abstract This paper presents a Scaled Sequential Thresholded Least Squares (S2TLS) algorithm to construct sparse regression models for flight load prediction. The combined use of a sparsification parameter λ and a magnification factor χ is… read more here.

Keywords: flight; s2tls algorithm; sparse regression; load ... See more keywords

Robust brain MR image compressive sensing via re-weighted total variation and sparse regression.

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recommendations! Published in 2021 at "Magnetic resonance imaging"

DOI: 10.1016/j.mri.2021.10.031

Abstract: Total variation (TV) and non-local self-similarity (NSS) are powerful tools for successfully enhancing compressive sensing performance. However, standard TV approaches often over-smooth detailed edges in the image, due to the uniform regularization of gradient magnitude.… read more here.

Keywords: compressive sensing; image; sparse regression; total variation ... See more keywords
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Development of a vision based pose estimation system for robotic machining and improving its accuracy using LSTM neural networks and sparse regression

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recommendations! Published in 2022 at "Robotics and Computer-Integrated Manufacturing"

DOI: 10.1016/j.rcim.2021.102262

Abstract: Abstract In this work, an eye to hand camera based pose estimation system is developed for robotic machining and the accuracy of the estimated pose is improved using two different approaches, namely Long Short Term… read more here.

Keywords: robotic machining; pose estimation; sparse regression;

Modified sparse regression to solve heterogeneity and hybrid models for increasing the prediction accuracy of seaweed big data with outliers

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-60612-7

Abstract: The linear regression is critical for data modelling, especially for scientists. Nevertheless, with the plenty of high-dimensional data, there are data with more explanatory variables than the number of observations. In such circumstances, traditional approaches… read more here.

Keywords: big data; regression; modified sparse; sparse regression ... See more keywords

Sparse regression for discovery of constitutive models from oscillatory shear measurements

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recommendations! Published in 2024 at "Physics of Fluids"

DOI: 10.1063/5.0233607

Abstract: We propose sparse regression as an alternative to neural networks for the discovery of parsimonious constitutive models (CMs) from oscillatory shear experiments. Symmetry and frame invariance are strictly imposed by using tensor basis functions to… read more here.

Keywords: regression discovery; constitutive models; oscillatory shear; discovery constitutive ... See more keywords

Robust sparse regression by modeling noise as a mixture of gaussians

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recommendations! Published in 2019 at "Journal of Applied Statistics"

DOI: 10.1080/02664763.2019.1566448

Abstract: ABSTRACT Regression analysis has been proven to be a quite effective tool in a large variety of fields. In many regression models, it is often assumed that noise is with a specific distribution. Although the… read more here.

Keywords: sparse regression; regression; mog lasso; model ... See more keywords

Planar coil optimization for the Eos stellarator using sparse regression

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recommendations! Published in 2025 at "Plasma Physics and Controlled Fusion"

DOI: 10.1088/1361-6587/adb5b7

Abstract: A challenge in the design of stellarators for confining plasma at conditions relevant to fusion energy generation is designing a feasible set of magnetic field coils which can create the necessary confining field. One active… read more here.

Keywords: coil; field; sparse regression; planar ... See more keywords

Bilateral Joint-Sparse Regression for Hyperspectral Unmixing

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recommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2021.3115172

Abstract: Sparse hyperspectral unmixing has been a hot topic in recent years. Joint sparsity assumes that each pixel in a small neighborhood of hyperspectral images (HSIs) is composed of the same endmembers, which results in a… read more here.

Keywords: hyperspectral unmixing; bilateral joint; joint sparse; sparse regression ... See more keywords