Results 61 to 70 of about 4,818,434 (320)
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
eLife, 2023 Background: Machine learning (ML) techniques improve disease prediction by identifying the most relevant features in multidimensional data. We compared the accuracy of ML algorithms for predicting incident diabetic kidney disease (DKD).
Charumathi Sabanayagam +6 more
doaj +1 more source
A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing
, 2014 The past years have witnessed many dedicated open-source projects that built and maintain implementations of Support Vector Machines (SVM), parallelized for GPU, multi-core CPUs and distributed systems.
Chen, Wenlin +5 more
core +1 more source
Combining Lateral and Elastic Interactions: Topology-Preserving Elastic Nets
Neural Processing Letters, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Valery Tereshko, Nigel Allinson
openaire +1 more source
mBio, 2020 Discovery of genetic variants underlying bacterial phenotypes and the prediction of phenotypes such as antibiotic resistance are fundamental tasks in bacterial genomics.
John A. Lees +6 more
doaj +1 more source
Mathematical Biosciences and Engineering, 2023 The study of poverty has been studied from several different research approaches over the years. This analysis intended to determine which variables tell us about poverty in the Economic Community of West African State (ECOWAS) countries.
Brian W. Sloboda +2 more
doaj +1 more source
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 +2 more sources
, 2015 We propose a robust elastic net (REN) model for high-dimensional sparse regression and give its performance guarantees (both the statistical error bound and the optimization bound). A simple idea of trimming the inner product is applied to the elastic net model. Specifically, we robustify the covariance matrix by trimming the inner product based on the
Liu, Weiyang, Lin, Rongmei, Yang, Meng
openaire +2 more sources
Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data
BMC Bioinformatics, 2011 Background Classification and variable selection play an important role in knowledge discovery in high-dimensional data. Although Support Vector Machine (SVM) algorithms are among the most powerful classification and prediction methods with a wide range ...
Lichter Peter +3 more
doaj +1 more source
Sensors, 2023 The article presents the implementation of artificial intelligence algorithms for the problem of discretization in Electrical Impedance Tomography (EIT) adapted for urinary tract monitoring.
Bartłomiej Baran +5 more
doaj +1 more source