Results 11 to 20 of about 4,993,128 (318)
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.
Sandipan Pramanik, Xianyang Zhang
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Bayesian Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Qing, Lin, Nan
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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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Discriminative Elastic-Net Regularized Linear Regression [PDF]
IEEE Transactions on Image Processing, 2017 In this paper, we aim at learning compact and discriminative linear regression models. Linear regression has been widely used in different problems. However, most of the existing linear regression methods exploit the conventional zero-one matrix as the regression targets, which greatly narrows the flexibility of the regression model.
Zheng Zhang +5 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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Transfer Elastic Net for Developing Epigenetic Clocks for the Japanese Population [PDF]
MathematicsThe epigenetic clock evaluates human biological age based on DNA methylation patterns. It takes the form of a regression model where the methylation ratio at CpG sites serves as the predictor and age as the response variable.
Yui Tomo, Ryo Nakaki
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Elastic net prefiltering for two class classification [PDF]
IEEE Transactions on Cybernetics, 2012 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
Chen, Sheng, Harris, Chris J., Hong, Xia
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Barekeng, 2023 Diabetes Mellitus (DM) is a disease that can occur in humans caused by conditions of high blood glucose levels (hyperglycemia). Detection of blood glucose levels can be done using invasive methods (injuring) and non- invasive methods (with infrared rays).
Farah Abqorunnisa +2 more
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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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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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