| A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics | Jun 23, 2020 | Variable Selection | —Unverified | 0 |
| APPLE: Approximate Path for Penalized Likelihood Estimators | Nov 2, 2012 | parameter estimationVariable Selection | —Unverified | 0 |
| Applications of Machine Learning for the Ratemaking in Agricultural Insurances | Dec 6, 2022 | Variable Selection | —Unverified | 0 |
| A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups | Dec 1, 2010 | Variable Selection | —Unverified | 0 |
| A projection pursuit framework for testing general high-dimensional hypothesis | May 2, 2017 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 |
| A Rank Minrelation - Majrelation Coefficient | May 9, 2013 | Variable Selection | —Unverified | 0 |
| A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition | Aug 16, 2011 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval | Jan 6, 2025 | In-Context LearningSensor Modeling | —Unverified | 0 |
| A machine learning framework for neighbor generation in metaheuristic search | Dec 22, 2022 | Combinatorial OptimizationVariable Selection | —Unverified | 0 |
| A Statistical-Modelling Approach to Feedforward Neural Network Model Selection | Jul 9, 2022 | Model SelectionVariable Selection | —Unverified | 0 |
| A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection | Jun 3, 2021 | Decision MakingDimensionality Reduction | —Unverified | 0 |
| A Survey of Numerical Algorithms that can Solve the Lasso Problems | Mar 7, 2023 | regressionVariable Selection | —Unverified | 0 |
| Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective | Nov 3, 2023 | Density Estimationquantile regression | —Unverified | 0 |
| An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection | Oct 28, 2019 | Anomaly DetectionVariable Selection | —Unverified | 0 |
| An Efficient Shapley Value Computation for the Naive Bayes Classifier | Jul 31, 2023 | Variable Selection | —Unverified | 0 |
| Accurate Estimation of Quantitative Trait Locus Effects with Epistatic by Improved Variational Linear Regression | Jan 12, 2015 | regressionVariable Selection | —Unverified | 0 |
| Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models | Apr 18, 2022 | Data AugmentationEnsemble Learning | —Unverified | 0 |
| A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random | May 25, 2025 | ClusteringComputational Efficiency | —Unverified | 0 |
| A Unified Framework for Sparse Relaxed Regularized Regression: SR3 | Jul 14, 2018 | compressed sensingComputational Efficiency | —Unverified | 0 |
| An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines | Sep 11, 2018 | General ClassificationVariable Selection | —Unverified | 0 |
| Bayesian Hybrid Machine Learning of Gallstone Risk | Jun 17, 2025 | Decision MakingHybrid Machine Learning | —Unverified | 0 |
| Bayesian l_0-regularized Least Squares | May 31, 2017 | Computational EfficiencyVariable Selection | —Unverified | 0 |
| Automatic Identification of Twin Zygosity in Resting-State Functional MRI | Jun 30, 2018 | Variable Selection | —Unverified | 0 |
| An Efficient Augmented Lagrangian Based Method for Constrained Lasso | Mar 12, 2019 | BIG-bench Machine Learningregression | —Unverified | 0 |
| A Two-Stage Variable Selection Approach for Correlated High Dimensional Predictors | Mar 24, 2021 | ClusteringVariable Selection | —Unverified | 0 |