| A Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations | Aug 31, 2016 | feature selectionVariable Selection | —Unverified | 0 | 0 |
| Consistent selection of tuning parameters via variable selection stability | Aug 16, 2012 | regressionVariable Selection | —Unverified | 0 | 0 |
| A Statistical-Modelling Approach to Feedforward Neural Network Model Selection | Jul 9, 2022 | Model SelectionVariable Selection | —Unverified | 0 | 0 |
| Confounder Selection via Support Intersection | Dec 25, 2019 | Variable Selection | —Unverified | 0 | 0 |
| Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models | Aug 14, 2013 | regressionVariable Selection | —Unverified | 0 | 0 |
| A machine learning framework for neighbor generation in metaheuristic search | Dec 22, 2022 | Combinatorial OptimizationVariable Selection | —Unverified | 0 | 0 |
| Active learning for binary classification with variable selection | Jan 29, 2019 | Active LearningBinary Classification | —Unverified | 0 | 0 |
| Conditional Variable Selection for Intelligent Test | Jul 1, 2022 | Variable Selection | —Unverified | 0 | 0 |
| Conditional independence testing with a single realization of a multivariate nonstationary nonlinear time series | Apr 30, 2025 | Causal DiscoveryTime Series | —Unverified | 0 | 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 | 0 |
| Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior | Mar 30, 2024 | Transfer LearningVariable Selection | —Unverified | 0 | 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 | 0 |
| Localized Neural Network Modelling of Time Series: A Case Study on US Monetary Policy | Jun 8, 2023 | Time Seriesvalid | —Unverified | 0 | 0 |
| Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework | Jul 25, 2018 | PredictionPrognosis | —Unverified | 0 | 0 |
| Comparison of Machine Learning Models in Food Authentication Studies | May 17, 2019 | BIG-bench Machine LearningDimensionality Reduction | —Unverified | 0 | 0 |
| A Rank Minrelation - Majrelation Coefficient | May 9, 2013 | Variable Selection | —Unverified | 0 | 0 |
| A projection pursuit framework for testing general high-dimensional hypothesis | May 2, 2017 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 | 0 |
| A least distance estimator for a multivariate regression model using deep neural networks | Jan 6, 2024 | regressionVariable Selection | —Unverified | 0 | 0 |
| A convex formulation for high-dimensional sparse sliced inverse regression | Sep 17, 2018 | Dimensionality Reductionregression | —Unverified | 0 | 0 |
| Closed-form Estimators for High-dimensional Generalized Linear Models | Dec 1, 2015 | FormVariable Selection | —Unverified | 0 | 0 |
| A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups | Dec 1, 2010 | Variable Selection | —Unverified | 0 | 0 |
| CFD-Based Quantification of Hemodynamic Variables in Cerebral Aneurysms: How Hemodynamics Shape Aneurysm Fate | May 5, 2025 | Variable Selection | —Unverified | 0 | 0 |
| Applications of Machine Learning for the Ratemaking in Agricultural Insurances | Dec 6, 2022 | Variable Selection | —Unverified | 0 | 0 |
| CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference | Apr 7, 2024 | Causal InferenceDimensionality Reduction | —Unverified | 0 | 0 |
| APPLE: Approximate Path for Penalized Likelihood Estimators | Nov 2, 2012 | parameter estimationVariable Selection | —Unverified | 0 | 0 |