| Global sensitivity analysis for optimization with variable selection | Nov 12, 2018 | SensitivityVariable Selection | —Unverified | 0 |
| Glucose values prediction five years ahead with a new framework of missing responses in reproducing kernel Hilbert spaces, and the use of continuous glucose monitoring technology | Dec 11, 2020 | Variable Selection | —Unverified | 0 |
| Gradient-based kernel method for feature extraction and variable selection | Dec 1, 2012 | Dimensionality ReductionVariable Selection | —Unverified | 0 |
| Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances | Jun 16, 2025 | Model Selectionregression | —Unverified | 0 |
| Greedy Active Learning Algorithm for Logistic Regression Models | Feb 1, 2018 | Active LearningBinary Classification | —Unverified | 0 |
| Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors | Sep 10, 2012 | regressionVariable Selection | —Unverified | 0 |
| Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction | Dec 1, 2009 | feature selectionPrediction | —Unverified | 0 |
| Grouping effects of sparse CCA models in variable selection | Aug 7, 2020 | Variable Selection | —Unverified | 0 |
| Group Regularized Estimation under Structural Hierarchy | Nov 17, 2014 | Variable Selection | —Unverified | 0 |
| Group Sparse Additive Machine | Dec 1, 2017 | Additive modelsClassification | —Unverified | 0 |
