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Variable Selection

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Showing 251–275 of 566 papers

TitleStatusHype
Heteroscedastic Double Bayesian Elastic Net—0
Equitability of Dependence Measure—0
Bayesian subset selection and variable importance for interpretable prediction and classification—0
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis—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
An Interactive Segmentation Tool for Quantifying Fat in Lumbar Muscles using Axial Lumbar-Spine MRI—0
Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates—0
Elastic Net Procedure for Partially Linear Models—0
Bayesian sparse convex clustering via global-local shrinkage priors—0
Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification—0
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning—0
Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership—0
An Integrated Panel Data Approach to Modelling Economic Growth—0
A Fast Non-parametric Approach for Local Causal Structure Learning—0
A comparison of different types of Niching Genetic Algorithms for variable selection in solar radiation estimation—0
Efficient Regularized Regression for Variable Selection with L0 Penalty—0
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective—0
Efficient Regularized Piecewise-Linear Regression Trees—0
Efficient hinging hyperplanes neural network and its application in nonlinear system identification—0
Bayesian Models of Functional Connectomics and Behavior—0
An information criterion for auxiliary variable selection in incomplete data analysis—0
Efficient Clustering of Correlated Variables and Variable Selection in High-Dimensional Linear Models—0
Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms—0
Bayesian l_0-regularized Least Squares—0
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