Results 21 to 30 of about 57,263 (295)
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
doaj +1 more source
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
openaire +3 more sources
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
doaj +1 more source
Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net [PDF]
, 2023 The elastic net combines lasso and ridge regression to fuse the sparsity property of lasso with the grouping property of ridge regression. The connections between ridge regression and gradient descent and between lasso and forward stagewise regression ...
Jonasson, Johan, +2 more
core +5 more sources
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
openaire +3 more sources
Geographically weighted elastic net logistic regression [PDF]
, 2018 This paper develops a localized approach to elastic net logistic regression, extending previous research describing a localized elastic net as an extension to a localized ridge regression or a localized lasso.
Comber, A. +3 more
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
Improved Metabolite Prediction Using Microbiome Data-Based Elastic Net Models
Frontiers in Cellular and Infection Microbiology, 2021 Microbiome data are becoming increasingly available in large health cohorts, yet metabolomics data are still scant. While many studies generate microbiome data, they lack matched metabolomics data or have considerable missing proportions of metabolites ...
Jialiu Xie +12 more
doaj +1 more source
Prediction of internal egg quality characteristics and variable selection using regularization methods: ridge, LASSO and elastic net [PDF]
Archives Animal Breeding, 2018 This study was conducted to determine the inner quality characteristics of eggs using external egg quality characteristics. The variables were selected in order to obtain the simplest model using ridge, LASSO and elastic net regularization methods ...
M. N. Çiftsüren, S. Akkol
doaj +1 more source