Results 81 to 90 of about 4,818,434 (320)

Ridge Regression and the Elastic Net: How Do They Do as Finders of True Regressors and Their Coefficients?

open access: yesMathematics, 2022
For the linear model Y=Xb+error, where the number of regressors (p) exceeds the number of observations (n), the Elastic Net (EN) was proposed, in 2005, to estimate b.
Rajaram Gana
doaj   +1 more source

Bayesian Estimation Improves Prediction of Outcomes After Epilepsy Surgery

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We estimated the statistical power of studies predicting seizure freedom after epilepsy surgery. We extracted data from a Cochrane meta‐analysis. The median power across all studies was 14%. Studies with a median sample size or less (n ≤ 56) and a statistically significant result exaggerated the true effect size by a factor of 5.4, while the ...
Adam S. Dickey   +4 more
wiley   +1 more source

Zero-Inflated Binary Classification Model with Elastic Net Regularization

open access: yesMathematics
Zero inflation and overfitting can reduce the accuracy rate of using machine learning models for characterizing binary data sets. A zero-inflated Bernoulli (ZIBer) model can be the right model to characterize zero-inflated binary data sets.
Hua Xin   +3 more
doaj   +1 more source

DNA Methylation-Based Panel Predicts Survival of Patients With Clear Cell Renal Cell Carcinoma and Its Correlations With Genomic Metrics and Tumor Immune Cell Infiltration

open access: yesFrontiers in Cell and Developmental Biology, 2020
DNA methylation based prognostic factor for patients with clear cell renal cell carcinoma (ccRCC) remains unclear. In the present study, we identified survival-related DNA methylation sites based on the differentially methylated DNA CpG sites between ...
Xiao-Ping Liu   +8 more
doaj   +1 more source

Hyperspectral estimation of chlorophyll content in jujube leaves: integration of derivative processing techniques and dimensionality reduction algorithms

open access: yesFrontiers in Plant Science, 2023
The leaf chlorophyll content (LCC) of vegetation is closely related to photosynthetic efficiency and biological activity. Jujube (Ziziphus jujuba Mill.) is a traditional economic forest tree species.
Nigela Tuerxun   +8 more
doaj   +1 more source

Regression shrinkage and selection variables via an adaptive elastic net model

open access: yesJournal of Physics: Conference Series, 2021
In this paper, a new method of selection variables is presented to select some essential variables from large datasets. The new model is a modified version of the Elastic Net model. The modified Elastic Net variable selection model has been summarized in
Ghadeer Mahdi   +2 more
semanticscholar   +1 more source

Assessment of Skin in Patients With Systemic Sclerosis Using High‐Frequency Ultrasound and Shear Wave Elastography: A Comparative Study With Histology, Molecular, and Clinical Parameters

open access: yesArthritis Care &Research, EarlyView.
Objective Ultrasound (US) has been proposed as a potential tool for assessing skin fibrosis in systemic sclerosis (SSc). However, a large‐scale comparison of US‐based assessment with histologic markers of skin fibrosis has not been reported. We evaluated US‐based skin assessments for their face validity (differentiation between involved SSc and healthy
Ruhani Desai   +12 more
wiley   +1 more source

Gut microbiota landscape and potential biomarker identification in female patients with systemic lupus erythematosus using machine learning

open access: yesFrontiers in Cellular and Infection Microbiology, 2023
ObjectivesSystemic Lupus Erythematosus (SLE) is a complex autoimmune disease that disproportionately affects women. Early diagnosis and prevention are crucial for women’s health, and the gut microbiota has been found to be strongly associated with SLE ...
Wenzhu Song   +9 more
doaj   +1 more source

Efficient Elastic Net Regularization for Sparse Linear Models [PDF]

open access: yes, 2015
This paper presents an algorithm for efficient training of sparse linear models with elastic net regularization. Extending previous work on delayed updates, the new algorithm applies stochastic gradient updates to non-zero features only, bringing weights
Elkan, Charles, Lipton, Zachary C.
core  

Analysis of DCE-MRI Data using a Nonnegative Elastic Net [PDF]

open access: yes, 2010
We present a nonnegative Elastic Net approach for the analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging data. A multi-compartment approach is considered, which is translated into a (restricted) least square model selection problem.
Gertheiss, Jan   +2 more
core   +1 more source

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