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Variable Selection

Papers

Showing 51100 of 566 papers

TitleStatusHype
A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics0
APPLE: Approximate Path for Penalized Likelihood Estimators0
Applications of Machine Learning for the Ratemaking in Agricultural Insurances0
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups0
A projection pursuit framework for testing general high-dimensional hypothesis0
A Rank Minrelation - Majrelation Coefficient0
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition0
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval0
A machine learning framework for neighbor generation in metaheuristic search0
A Statistical-Modelling Approach to Feedforward Neural Network Model Selection0
A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection0
A Survey of Numerical Algorithms that can Solve the Lasso Problems0
Conditional independence testing with a single realization of a multivariate nonstationary nonlinear time series0
Conditional Variable Selection for Intelligent Test0
CFD-Based Quantification of Hemodynamic Variables in Cerebral Aneurysms: How Hemodynamics Shape Aneurysm Fate0
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference0
Closed-form Estimators for High-dimensional Generalized Linear Models0
Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models0
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random0
A Unified Framework for Sparse Relaxed Regularized Regression: SR30
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines0
Causal nearest neighbor rules for optimal treatment regimes0
Automatic Identification of Twin Zygosity in Resting-State Functional MRI0
An Efficient Augmented Lagrangian Based Method for Constrained Lasso0
An Efficient Shapley Value Computation for the Naive Bayes Classifier0
Accurate Estimation of Quantitative Trait Locus Effects with Epistatic by Improved Variational Linear Regression0
bartMachine: Machine Learning with Bayesian Additive Regression Trees0
An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection0
A network-constrain Weibull AFT model for biomarkers discovery0
Bayesian Boosting for Linear Mixed Models0
Bayesian Compressed Regression0
A Differentiable Rank-Based Objective For Better Feature Learning0
Bayesian Hybrid Machine Learning of Gallstone Risk0
Bayesian l_0-regularized Least Squares0
Bayesian Models of Functional Connectomics and Behavior0
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective0
Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership0
Bayesian sparse convex clustering via global-local shrinkage priors0
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing0
Bayesian subset selection and variable importance for interpretable prediction and classification0
Bayesian Variable Selection for Globally Sparse Probabilistic PCA0
Comparison of Machine Learning Models in Food Authentication Studies0
A Two-Stage Variable Selection Approach for Correlated High Dimensional Predictors0
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models0
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference0
A novel nonconvex, smooth-at-origin penalty for statistical learning0
An update on statistical boosting in biomedicine0
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends0
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning0
Citywide Electric Vehicle Charging Demand Prediction Approach Considering Urban Region and Dynamic Influences0
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