Results 31 to 40 of about 4,993,128 (318)
Neural computing & applications (Print), 2021 This study builds a predictive model capable of estimating the critical temperature of a superconductor from experimentally determined physico-chemical properties of the material (input variables): features extracted from the thermal conductivity, atomic
P. J. García–Nieto +2 more
semanticscholar +1 more source
Fast learning rate of multiple kernel learning: Trade-off between sparsity and smoothness [PDF]
, 2013 We investigate the learning rate of multiple kernel learning (MKL) with $\ell_1$ and elastic-net regularizations. The elastic-net regularization is a composition of an $\ell_1$-regularizer for inducing the sparsity and an $\ell_2$-regularizer for ...
Sugiyama, Masashi, Suzuki, Taiji
core +2 more sources
Journal of Applied Economics and Business Studies, 2021 This study aims at performance evaluation of Ridge, Elastic Net and Lasso Regression Methods in handling different degrees of multicollinearity in a multiple regression analysis of independent variables using simulation data.
Shady I. Altelbany
semanticscholar +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
IEEE transactions on neural systems and rehabilitation engineering, 2022 Patients with Disorder of Consciousness (DoC) entering Intensive Rehabilitation Units after a severe Acquired Brain Injury have a highly variable evolution of the state of consciousness which is a complex aspect to predict.
P. Liuzzi +12 more
semanticscholar +1 more source
Feature selection guided by structural information [PDF]
, 2009 In generalized linear regression problems with an abundant number of features, lasso-type regularization which imposes an $\ell^1$-constraint on the regression coefficients has become a widely established technique.
Castell, Wolfgang zu +2 more
core +2 more sources
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
Pyglmnet : Python implementation of elastic-net regularized generalized linear models [PDF]
, 2020 Graceful handling of small Hessian term in coordinate descent solver that led to exploding update term Ensure full compatibility of GLM class with scikit ...
Achakulvisut, Titipat +21 more
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An Application of the Elastic Net for an Endophenotype Analysis [PDF]
Behavior Genetics, 2011 We provide an illustration of an application of the elastic net to a large number of common genetic variants in the context of the search for the genetic bases of an endophenotype conceivably related to individual differences in learning. GABA concentration in the occipital cortex, a critical area for reading, was obtained in a group (n = 76) of ...
Dean, Palejev +12 more
openaire +2 more sources
Scientific Reports, 2022 This study aimed to construct Bayesian networks (BNs) to analyze the network relationships between COPD and its influencing factors, and the strength of each factor's influence on COPD was reflected through network reasoning. Elastic Net and Max-Min Hill-
D. Quan +8 more
semanticscholar +1 more source