Results 31 to 40 of about 57,263 (295)
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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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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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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, 2014 Permutation tests for equality of the group distributions using distance components analysis (lines 2 to 6), and permutation F-tests for the presence of 2-by-2 interactions (lines 7 to 16), in the comparison of lasso vs elastic-net.
Elias Chaibub Neto (42416) +2 more
core +1 more source
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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Penalized Regression with Correlation Based Penalty [PDF]
, 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.
Gerhard Tutz +3 more
core +1 more source
Elastic net model to predict Severity Score. [PDF]
, 2023 (a) Severity Score predictions by Elastic Net model (light blue) and the ground truth values (orange) on unbalanced and rounded data at each interaction. Misclassified individuals are indicated with letters from A to D.
Esther Bernaldo-de-Quirós (12547435) +12 more
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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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Ridge-regression vs elastic-net. [PDF]
, 2014 Permutation tests for equality of the group distributions using distance components analysis (lines 2 to 6), and permutation F-tests for the presence of 2-by-2 interactions (lines 7 to 16), in the comparison of ridge-regression vs elastic-net.
Elias Chaibub Neto (42416) +2 more
core +1 more source
Data integration by multi-tuning parameter elastic net regression
BMC Bioinformatics, 2018 Background To integrate molecular features from multiple high-throughput platforms in prediction, a regression model that penalizes features from all platforms equally is commonly used.
Jie Liu +3 more
doaj +1 more source