Results 31 to 40 of about 28,744 (310)
Regularized Sparse Modelling for Microarray Missing Value Estimation
IEEE Access, 2021 The existence of missing values in microarray data inevitably hinders downstream biological analyses that expect complete data as input, therefore how to effectively explore the underlying structure of data to accurately estimate missing entries remains ...
Aiguo Wang, Jing Yang, Ning An
doaj +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
Regularized MAVE through the elastic net with correlated predictors
Journal of Physics: Conference Series, 2021 AbstractIn this article, we proposed a model-free variable selection method (SMAVE-EN). The concepts of sufficient dimension reduction (SDR) and regularization methods are combined to introduce SMAVE-EN. This method is proposed to produce a shrinkage estimation when the predictors are highly correlated under SDR settings.
Ali Alkenani, Eman Qais Abdel Rahman
openalex +2 more sources
Sparse HJ Biplot: A New Methodology via Elastic Net
Mathematics, 2021 The HJ biplot is a multivariate analysis technique that allows us to represent both individuals and variables in a space of reduced dimensions. To adapt this approach to massive datasets, it is necessary to implement new techniques that are capable of ...
Mitzi Cubilla-Montilla +3 more
doaj +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
Cancer Progression Prediction Using Gene Interaction Regularized Elastic Net [PDF]
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017 Different types of genomic aberration may simultaneously contribute to tumorigenesis. To obtain a more accurate prognostic assessment to guide therapeutic regimen choice for cancer patients, the heterogeneous multi-omics data should be integrated harmoniously, which can often be difficult.
, Lin Zhang +5 more
openaire +2 more sources
Axioms, 2023 We study three classes of variational inclusion problems in the framework of a real Hilbert space and propose a simple modification of Tseng’s forward-backward-forward splitting method for solving such problems.
Adeolu Taiwo, Simeon Reich
doaj +1 more source
Penalized Regression with Correlation Based Penalty [PDF]
, 2006 A new regularization method for regression models is proposed. The criterion to be minimized contains a penalty term which explicitly links strength of penalization to the correlation between predictors.
Tutz, Gerhard, Ulbricht, Jan
core +3 more sources
Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification [PDF]
IEEE Transactions on Image Processing, 2019 In this paper, we present correlated logistic (CorrLog) model for multilabel image classification. CorrLog extends conventional logistic regression model into multilabel cases, via explicitly modeling the pairwise correlation between labels. In addition, we propose to learn the model parameters of CorrLog with elastic net regularization, which helps ...
Qiang Li +4 more
openalex +5 more sources
Adaptive group-regularized logistic elastic net regression
Biostatistics, 2019 SummaryIn high-dimensional data settings, additional information on the features is often available. Examples of such external information in omics research are: (i) $p$-values from a previous study and (ii) omics annotation. The inclusion of this information in the analysis may enhance classification performance and feature selection but is not ...
Münch, MM +3 more
openaire +5 more sources