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Variable Selection

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Showing 451–500 of 566 papers

TitleStatusHype
An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection—0
A network-constrain Weibull AFT model for biomarkers discovery—0
An improved chromosome formulation for genetic algorithms applied to variable selection with the inclusion of interaction terms—0
An information criterion for auxiliary variable selection in incomplete data analysis—0
An Integrated Panel Data Approach to Modelling Economic Growth—0
An Interactive Segmentation Tool for Quantifying Fat in Lumbar Muscles using Axial Lumbar-Spine MRI—0
A Note on Coding and Standardization of Categorical Variables in (Sparse) Group Lasso Regression—0
A novel nonconvex, smooth-at-origin penalty for statistical learning—0
An update on statistical boosting in biomedicine—0
A Permutation Approach for Selecting the Penalty Parameter in Penalized Model Selection—0
A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics—0
APPLE: Approximate Path for Penalized Likelihood Estimators—0
Applications of Machine Learning for the Ratemaking in Agricultural Insurances—0
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups—0
A projection pursuit framework for testing general high-dimensional hypothesis—0
A Rank Minrelation - Majrelation Coefficient—0
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition—0
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval—0
A Statistical-Modelling Approach to Feedforward Neural Network Model Selection—0
A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection—0
A Survey of Numerical Algorithms that can Solve the Lasso Problems—0
Asymptotic Behavior of Adversarial Training Estimator under _-Perturbation—0
Asymptotic equivalence of regularization methods in thresholded parameter space—0
Asymptotic properties for combined L_1 and concave regularization—0
Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models—0
A Theory of Dichotomous Valuation with Applications to Variable Selection—0
Citywide Electric Vehicle Charging Demand Prediction Approach Considering Urban Region and Dynamic Influences—0
A Two-Stage Variable Selection Approach for Correlated High Dimensional Predictors—0
A Unified Framework for Sparse Relaxed Regularized Regression: SR3—0
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random—0
Automatic Identification of Twin Zygosity in Resting-State Functional MRI—0
bartMachine: Machine Learning with Bayesian Additive Regression Trees—0
Bayesian Boosting for Linear Mixed Models—0
Bayesian Compressed Regression—0
Bayesian Hybrid Machine Learning of Gallstone Risk—0
Bayesian l_0-regularized Least Squares—0
Bayesian Models of Functional Connectomics and Behavior—0
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective—0
Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership—0
Bayesian sparse convex clustering via global-local shrinkage priors—0
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing—0
Bayesian subset selection and variable importance for interpretable prediction and classification—0
Bayesian Variable Selection for Globally Sparse Probabilistic PCA—0
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique—0
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models—0
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference—0
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends—0
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning—0
Breaking the Curse of Dimensionality with Convex Neural Networks—0
Can Machine Learning discover the determining factors in participation in insurance schemes? A comparative analysis—0
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