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Variable Selection

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Showing 151–200 of 566 papers

TitleStatusHype
Detecting and Diagnosing Terrestrial Gravitational-Wave Mimics Through Feature Learning—0
An Efficient Shapley Value Computation for the Naive Bayes Classifier—0
Determination of class-specific variables in nonparametric multiple-class classification—0
Developing an ICU scoring system with interaction terms using a genetic algorithm—0
Differentially Private Variable Selection via the Knockoff Filter—0
Dimensionality Reduction and State Space Systems: Forecasting the US Treasury Yields Using Frequentist and Bayesian VARs—0
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection—0
DiscoVars: A New Data Analysis Perspective -- Application in Variable Selection for Clustering—0
A network-constrain Weibull AFT model for biomarkers discovery—0
A Cluster Elastic Net for Multivariate Regression—0
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX—0
Double Machine Learning and Automated Confounder Selection -- A Cautionary Tale—0
Credit Ratings: Heterogeneous Effect on Capital Structure—0
Dynamic sparsity on dynamic regression models—0
Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing—0
Economic Forecasts Using Many Noises—0
ecpc: An R-package for generic co-data models for high-dimensional prediction—0
Bayesian Hybrid Machine Learning of Gallstone Risk—0
Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms—0
Efficient Clustering of Correlated Variables and Variable Selection in High-Dimensional Linear Models—0
Efficient hinging hyperplanes neural network and its application in nonlinear system identification—0
Efficient Regularized Piecewise-Linear Regression Trees—0
Efficient Regularized Regression for Variable Selection with L0 Penalty—0
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective—0
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning—0
Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification—0
Elastic Net Procedure for Partially Linear Models—0
Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates—0
Enhancing Variable Selection in Large-scale Logistic Regression: Leveraging Manual Labeling with Beneficial Noise—0
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing—0
Equitability of Dependence Measure—0
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning—0
Estimating high-dimensional Markov-switching VARs—0
Estimation and Inference of Treatment Effects with L_2-Boosting in High-Dimensional Settings—0
Asymptotic properties for combined L_1 and concave regularization—0
Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug—0
An ADMM approach for multi-response regression with overlapping groups and interaction effects—0
Counterfactual Generation with Knockoffs—0
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models—0
Exhaustive search for sparse variable selection in linear regression—0
Expectation propagation on the diluted Bayesian classifier—0
Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning—0
Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data—0
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning—0
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning—0
An update on statistical boosting in biomedicine—0
Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling—0
Extensions of stability selection using subsamples of observations and covariates—0
Face Attributes as Cues for Deep Face Recognition Understanding—0
A Multi-objective Exploratory Procedure for Regression Model Selection—0
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