Results 11 to 20 of about 57,263 (295)
The elastic behavior of entropic "fisherman's net” [PDF]
The 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
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Elastic-Net Prefiltering for Two-Class Classification [PDF]
IEEE Transactions on Cybernetics, 2013 A two-stage linear-in-the-parameter model construction algorithm is proposed aimed at noisy two-class classification problems. The purpose of the first stage is to produce a prefiltered signal that is used as the desired output for the second stage which constructs a sparse linear-in-the-parameter classifier.
Xia Hong 0001 +2 more
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Elastic Net Constraints for Shape Matching [PDF]
2013 IEEE International Conference on Computer Vision, 2013 We consider a parametrized relaxation of the widely adopted quadratic assignment problem (QAP) formulation for minimum distortion correspondence between deformable shapes. In order to control the accuracy/sparsity trade-off we introduce a weighting parameter on the combination of two existing relaxations, namely spectral and game-theoretic.
Emanuele Rodolà +4 more
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Structure Adaptive Elastic-Net [PDF]
, 2020 Penalized linear regression is of fundamental importance in high-dimensional statistics and has been routinely used to regress a response on a high-dimensional set of predictors. In many scientific applications, there exists external information that encodes the predictive power and sparsity structure of the predictors.
Pramanik, Sandipan, Zhang, Xianyang
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Sparse STATIS-Dual via Elastic Net
Mathematics, 2021 Multi-set multivariate data analysis methods provide a way to analyze a series of tables together. In particular, the STATIS-dual method is applied in data tables where individuals can vary from one table to another, but the variables that are analyzed ...
Carmen C. Rodríguez-Martínez +3 more
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, 2023 Elastic-Net forecasts for all 4 test seasons (2015/16 to 2018/19) and forecasting horizons (γ = 7, 14, 21, and 28). The influenza-like illness (ILI) rate (ground truth) is shown by the black line. (EPS)
Ingemar J. Cox (16892341) +3 more
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RENT—Repeated Elastic Net Technique for Feature Selection
IEEE Access, 2021 Feature selection is an essential step in data science pipelines to reduce the complexity associated with large datasets. While much research on this topic focuses on optimizing predictive performance, few studies investigate stability in the context of ...
Anna Jenul +5 more
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Revstat Statistical Journal, 2022 In this paper we propose an iteratively reweighted adaptive elastic net estimation method for conditional heteroscedastic time series models. The sign consistency and the asymptotic normality of the estimator are investigated.
Yuanyuan Liao , Lihong Wang
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Mathematics, 2023 In the data-driven era, the mining of financial asset information and the selection of appropriate assets are crucial for stable returns and risk control.
Yumei Ren +3 more
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Pathway-Based Genomics Prediction using Generalized Elastic Net. [PDF]
PLoS Computational Biology, 2016 We present a novel regularization scheme called The Generalized Elastic Net (GELnet) that incorporates gene pathway information into feature selection.
Artem Sokolov +4 more
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