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Variable Selection

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Showing 226–250 of 566 papers

TitleStatusHype
Fréchet regression with implicit denoising and multicollinearity reduction—0
Comparison of Machine Learning Models in Food Authentication Studies—0
Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Genomic Data—0
Fuzzy clustering of distribution-valued data using adaptive L2 Wasserstein distances—0
GAM(L)A: An econometric model for interpretable Machine Learning—0
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming—0
Generalized Sparse Additive Model with Unknown Link Function—0
Global sensitivity analysis for optimization with variable selection—0
Glucose values prediction five years ahead with a new framework of missing responses in reproducing kernel Hilbert spaces, and the use of continuous glucose monitoring technology—0
Gradient-based kernel method for feature extraction and variable selection—0
Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances—0
Conditional Variable Selection for Intelligent Test—0
Greedy Active Learning Algorithm for Logistic Regression Models—0
Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models—0
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors—0
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction—0
Confounder Selection via Support Intersection—0
A Statistical-Modelling Approach to Feedforward Neural Network Model Selection—0
Grouping effects of sparse CCA models in variable selection—0
Group Regularized Estimation under Structural Hierarchy—0
Group Sparse Additive Machine—0
Group-sparse SVD Models and Their Applications in Biological Data—0
A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection—0
Harnessing the Potential of Volatility: Advancing GDP Prediction—0
Correlation scenarios and correlation stress testing—0
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