Results 41 to 50 of about 4,993,128 (318)

Prediction of internal egg quality characteristics and variable selection using regularization methods: ridge, LASSO and elastic net [PDF]

open access: yesArchives Animal Breeding, 2018
This study was conducted to determine the inner quality characteristics of eggs using external egg quality characteristics. The variables were selected in order to obtain the simplest model using ridge, LASSO and elastic net regularization methods ...
M. N. Çiftsüren, S. Akkol
doaj   +1 more source

A two-layer feature selection method using Genetic Algorithm and Elastic Net

open access: yesExpert systems with applications, 2021
Feature selection, as a critical pre-processing step for machine learning, aims at determining representative predictors from a high-dimensional feature space dataset to improve the prediction accuracy.
F. Amini, Guiping Hu
semanticscholar   +1 more source

Improved Metabolite Prediction Using Microbiome Data-Based Elastic Net Models

open access: yesFrontiers in Cellular and Infection Microbiology, 2021
Microbiome data are becoming increasingly available in large health cohorts, yet metabolomics data are still scant. While many studies generate microbiome data, they lack matched metabolomics data or have considerable missing proportions of metabolites ...
Jialiu Xie   +12 more
doaj   +1 more source

The elastic behavior of entropic "fisherman's net” [PDF]

open access: yesThe European Physical Journal E, 2000
A new formalism is used for a Monte Carlo determination of the elastic constants of a two-dimensional net of fixed connectivity. The net is composed of point-like atoms each of which is tethered to six neighbors by a bond limiting the distance between them to a certain maximal separation, but having zero energy at all smaller lengths.
Farago, Oded, Kantor, Yacov
openaire   +2 more sources

Optimal surface clothing with elastic nets

open access: yesJournal of the Mechanics and Physics of Solids, 2023
The clothing problem aims at identifying the shape of a planar fabric for covering a target surface in the three-dimensional space. It poses significant challenges in various applications, ranging from fashion industry to digital manufacturing. Here, we propose a novel inverse design approach to the elastic clothing problem that is formulated as a ...
D. Andrini, M. Magri, P. Ciarletta
openaire   +1 more source

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

Applying elastic-net regression to identify the best models predicting changes in civic purpose during the emerging adulthood.

open access: yesJournal des adolescens, 2021
INTRODUCTION Changes in civic purpose during the emerging adulthood has been a significant research topic since it is closely associated with active civic engagement later in human lives.
Hyemin Han, Kelsie J. Dawson
semanticscholar   +1 more source

Adaptive Elastic Net for Group Testing

open access: yesBiometrics, 2018
AbstractFor disease screening, group (pooled) testing can be a cost-saving alternative to one-at-a-time testing, with savings realized through assaying pooled biospecimen (eg, urine, blood, saliva). In many group testing settings, practitioners are faced with the task of conducting disease surveillance.
Karl B. Gregory   +2 more
openaire   +4 more sources

Assessment of Elastic Net-Logistic individual credit default risk based on random forest

open access: yesXi'an Gongcheng Daxue xuebao, 2021
Based on the credit data of South Germany, in terms of the characteristics of the high dimensionality of the explanatory variables, the rich types, and the unbalanced number of good and bad customers in the credit data, the factors that affect personal ...
Qian CHEN, Xingshi HE, Xinshe YANG
doaj   +1 more source

Penalized Regression with Correlation Based Penalty [PDF]

open access: yes, 2006
A new regularization method for regression models is proposed. The criterion to be minimized contains a penalty term which explicitly links strength of penalization to the correlation between predictors.
Tutz, Gerhard, Ulbricht, Jan
core   +3 more sources

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