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Variable Selection

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Showing 401–425 of 566 papers

TitleStatusHype
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine LearningCode0
High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and rankingCode0
A Theory of Dichotomous Valuation with Applications to Variable Selection—0
Group-sparse SVD Models and Their Applications in Biological Data—0
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework—0
A Unified Framework for Sparse Relaxed Regularized Regression: SR3—0
Orthogonal Matching Pursuit for Text ClassificationCode0
Provable Variable Selection for Streaming Features—0
Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach—0
Nonoverlap-Promoting Variable Selection—0
Automatic Identification of Twin Zygosity in Resting-State Functional MRI—0
Feature selection in functional data classification with recursive maxima hunting—0
Variable Selection for Nonparametric Learning with Power Series Kernels—0
Statistical mechanical analysis of sparse linear regression as a variable selection problem—0
Flexible shrinkage in high-dimensional Bayesian spatial autoregressive models—0
Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks—0
A Note on Coding and Standardization of Categorical Variables in (Sparse) Group Lasso Regression—0
Structured nonlinear variable selectionCode0
Inference for L_2-BoostingCode0
Scalable Importance Tempering and Bayesian Variable SelectionCode0
Local White Matter Architecture Defines Functional Brain Dynamics—0
Large-scale Nonlinear Variable Selection via Kernel Random Features—0
Learning to Branch—0
Sparse Reduced Rank Regression With Nonconvex Regularization—0
False Discovery Rate Control via Debiased Lasso—0
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