Results 11 to 20 of about 28,744 (310)
Elastic-net regularization in learning theory [PDF]
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.
Ernesto De Vito, Lorenzo Rosasco
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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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Zero-Inflated Binary Classification Model with Elastic Net Regularization
MathematicsZero inflation and overfitting can reduce the accuracy rate of using machine learning models for characterizing binary data sets. A zero-inflated Bernoulli (ZIBer) model can be the right model to characterize zero-inflated binary data sets.
Hua Xin +3 more
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Doubly elastic net regularized online portfolio optimization with transaction costs [PDF]
Scientific Reports, 2023 AbstractOnline portfolio optimization with transaction costs is a big challenge in large-scale intelligent computing community, since its undersample from rapidly-changing market and complexity from varying transaction costs. In this paper, we focus on this problem and solve it by machine learning system.
Xiaoting Yao, Na Zhang
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Sparse Domain Transfer via Elastic Net Regularization [PDF]
Transportation of samples across different domains is a central task in several machine learning problems. A sensible requirement for domain transfer tasks in computer vision and language domains is the sparsity of the transportation map, i.e., the transfer algorithm aims to modify the least number of input features while transporting samples across ...
Jingwei Zhang, Farzan Farnia
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GENRE (GPU Elastic-Net REgression): A CUDA-Accelerated Package for Massively Parallel Linear Regression with Elastic-Net Regularization. [PDF]
J Open Source Softw, 2020 Khan C, Byram B.
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Algorithms, 2023 This paper aims to determine whether regularization improves image reconstruction in electrical impedance tomography (EIT) using a radial basis network. The primary purpose is to investigate the effect of regularization to estimate the network parameters
Chowdhury Abrar Faiyaz +4 more
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A Robust Variable Selection Method for Sparse Online Regression via the Elastic Net Penalty
Mathematics, 2022 Variable selection has been a hot topic, with various popular methods including lasso, SCAD, and elastic net. These penalized regression algorithms remain sensitive to noisy data.
Wentao Wang +4 more
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Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic Net [PDF]
Statistics and Computing, 2021 AbstractWe introduce the arbitrary rectangle-range generalized elastic net penalty method, abbreviated to ARGEN, for performing constrained variable selection and regularization in high-dimensional sparse linear models. As a natural extension of the nonnegative elastic net penalty method, ARGEN is proved to have both variable selection consistency and ...
Yujia Ding +3 more
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Extended Distribution of Relaxation Time Analysis for Electrochemical Impedance Spectroscopy
Electrochemistry, 2022 The distribution of relaxation time (DRT) is increasingly investigated as a novel analytical method for electrochemical impedance spectroscopy. However, this method has not yet been generalized, as it cannot be applied to a spectrum influenced by an ...
Kiyoshi KOBAYASHI, Tohru S. SUZUKI
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