Results 21 to 30 of about 49,678 (264)
LASSO and Elastic Net Tend to Over-Select Features
Mathematics, 2023 Machine learning methods have been a standard approach to select features that are associated with an outcome and to build a prediction model when the number of candidate features is large. LASSO is one of the most popular approaches to this end.
Lu Liu +3 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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Elasticity and Petri Nets [PDF]
, 2008 Digital electronic systems typically use synchronous clocks and primarily assume fixed duration of their operations to simplify the design process. Time elastic systems can be constructed either by replacing the clock with communication handshakes (asynchronous version) or by augmenting the clock with a synchronous version of a handshake (synchronous ...
Cortadella, Jordi +4 more
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A Generalized Linear Joint Trained Framework for Semi-Supervised Learning of Sparse Features
Mathematics, 2022 The elastic net is among the most widely used types of regularization algorithms, commonly associated with the problem of supervised generalized linear model estimation via penalized maximum likelihood.
Juan Carlos Laria +3 more
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Mathematics, 2021 The lasso and elastic net methods are the popular technique for parameter estimation and variable selection. Moreover, the adaptive lasso and elastic net methods use the adaptive weights on the penalty function based on the lasso and elastic net ...
Autcha Araveeporn
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Differential Priors for Elastic Nets [PDF]
, 2005 The elastic net and related algorithms, such as generative topographic mapping, are key methods for discretized dimension-reduction problems. At their heart are priors that specify the expected topological and geometric properties of the maps. However, up to now, only a very small subset of possible priors has been considered. Here we study a much more
Carreira-Perpiñán, M. +2 more
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High Dimensional QSAR Study of Mild Steel Corrosion Inhibition in acidic medium by Furan Derivatives
International Journal of Electrochemical Science, 2015 The inhibition of mild steel corrosion in 1 M HCl by 17 furan derivatives was investigated experimentally using potentiodynamic polarization measurements. The furan derivatives inhibit the mild steel corrosion. The experimental inhibition efficiency (IE)
Abdo M. Al-Fakih +5 more
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Stability of the elastic net estimator
Journal of Complexity, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yi Shen 0009 +2 more
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Pairwise Elastic Net Representation-Based Classification for Hyperspectral Image Classification
Entropy, 2021 The representation-based algorithm has raised a great interest in hyperspectral image (HSI) classification. l1-minimization-based sparse representation (SR) attempts to select a few atoms and cannot fully reflect within-class information, while l2 ...
Hao Li +5 more
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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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