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regularized least-squares regression using the lasso algorithm ( l 1 norm)  (MathWorks Inc)


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    MathWorks Inc regularized least-squares regression using the lasso algorithm ( l 1 norm)
    Regularized Least Squares Regression Using The Lasso Algorithm ( L 1 Norm), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/lasso+(regularized)+algorithm/pmc04760465-182-21-33
    Average 90 stars, based on 1 article reviews
    regularized least-squares regression using the lasso algorithm ( l 1 norm) - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: The influence of Co nucleation in Co Ni single atom alloy on low-temperature methane dry reforming with DFT simulations and microkinetic modeling
    Article Snippet: CO2 reacting with CH4 to produce value-added syngas CO and H2 is an attractive approach to utilize CO2 and achieve carbon neutralization.. The present work employed the dispersion corrected density functional theory (DFT) and microkinetic modeling to investigate the influence of Co nucleation in Co–Ni single atom alloy (SAA) on low-temperature methane dry reforming (DRM).. It is found that the Co nucleation in Co–Ni SAA did not alter the most favorable reaction path.

    Article Title: Foraging rates from metabarcoding: Predators have reduced functional responses in wild, diverse prey communities.
    Article Snippet: We generated 200 bootstrapped datasets per prey family, fitting a Type II functional response (Equation 9) to each dataset using non- linear ordinary least squares regression in Matlab.

    Article Title: Synthesis of biomass combustion fly ash derived zeolites for CO2 adsorption: Optimisation of hydrothermal synthetic pathway
    Article Snippet: The models have been fitted ia non-linear least squares regression using MATLAB r2023a with the oodness-of-fit estimated through the coefficient of determination (R2 ) hich has been adjusted for the number of predictors in the model (adj2 ), and the root mean squared error (RMSE).

    Article Title: Thermal Development, Mortality, and Fertility of an Apulian Strain of Drosophila suzukii at Different Temperatures.
    Article Snippet: Parameters Estimation and Software The best-fit parameters were estimated through non-linear least-squares regression carried out using MATLAB (v. 2023b) software.

    Control:

    Article Title: Temperature and predators as interactive drivers of community properties
    Article Snippet: .. To account for any system equilibration, we only used oxygen data collected from minutes 30 to 55, during which time we took measurements every 2 min. For each vial, we obtained a slope of oxygen use over time using ordinary least squares regression in Matlab 2022b, subtracting the slope of the control vial to account for any background changes in oxygen. .. Second, we measured cell volumes of the remaining community members in the microcosms after pulling samples for respiration using a FlowCam for ciliates, rotifers, and gastrotrichs and photographs taken using a Leica M165C stereo microscope with a Leica DMC4500 camera for Actinosphaerium .

    Concentration Assay:

    Article Title: Mild decarboxylation of neat muconic acid to levulinic acid: a combined experimental and computational mechanistic study
    Article Snippet: .. The time vs. concentration data collected at each temperature were then fit to the first-order rate equations ( ) for predicting the rate constants using the least-squares regression in MATLAB. ..



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