Results 31 to 40 of about 49,678 (264)
Optimal surface clothing with elastic nets
Journal 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
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Improved Metabolite Prediction Using Microbiome Data-Based Elastic Net Models
Frontiers 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
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An Application of the Elastic Net for an Endophenotype Analysis [PDF]
Behavior Genetics, 2011 We provide an illustration of an application of the elastic net to a large number of common genetic variants in the context of the search for the genetic bases of an endophenotype conceivably related to individual differences in learning. GABA concentration in the occipital cortex, a critical area for reading, was obtained in a group (n = 76) of ...
Dean, Palejev +12 more
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Prediction of internal egg quality characteristics and variable selection using regularization methods: ridge, LASSO and elastic net [PDF]
Archives 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
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Sparse HJ Biplot: A New Methodology via Elastic Net
Mathematics, 2021 The HJ biplot is a multivariate analysis technique that allows us to represent both individuals and variables in a space of reduced dimensions. To adapt this approach to massive datasets, it is necessary to implement new techniques that are capable of ...
Mitzi Cubilla-Montilla +3 more
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Elastic-net regularization in learning theory
Journal of Complexity, 2009 Within the framework of statistical learning theory we analyze in detail the so-called elastic-net regularization scheme proposed by Zou and Hastie for the selection of groups of correlated variables. To investigate on the statistical properties of this scheme and in particular on its consistency properties, we set up a suitable mathematical framework.
C. DE MOL +2 more
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A Cluster Elastic Net for Multivariate Regression
J. Mach. Learn. Res., 2017 We propose a method for estimating coefficients in multivariate regression when there is a clustering structure to the response variables. The proposed method includes a fusion penalty, to shrink the difference in fitted values from responses in the same cluster, and an L1 penalty for simultaneous variable selection and estimation.
Price, Bradley S., Sherwood, Ben
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Adaptive Elastic Net for Group Testing
Biometrics, 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
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Assessment of Elastic Net-Logistic individual credit default risk based on random forest
Xi'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
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CoRR, 2011 The elastic net was introduced as a heuristic algorithm for combinatorial optimisation and has been applied, among other problems, to biological modelling. It has an energy function which trades off a fitness term against a tension term. In the original formulation of the algorithm the tension term was implicitly based on a first-order derivative.
Miguel Á. Carreira-Perpiñán +1 more
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