| A Bayesian Finite Mixture Model with Variable Selection for Data with Mixed-type Variables | May 9, 2019 | ClusteringVariable Selection | —Unverified | 0 | 0 |
| Yordle: An Efficient Imitation Learning for Branch and Bound | Feb 2, 2022 | BIG-bench Machine LearningCombinatorial Optimization | —Unverified | 0 | 0 |
| On feature selection in double-imbalanced data settings: a Random Forest approach | Jun 12, 2025 | feature selectionVariable Selection | —Unverified | 0 | 0 |
| ABM: an automatic supervised feature engineering method for loss based models based on group and fused lasso | Sep 22, 2020 | Feature EngineeringVariable Selection | —Unverified | 0 | 0 |
| Accurate Estimation of Quantitative Trait Locus Effects with Epistatic by Improved Variational Linear Regression | Jan 12, 2015 | regressionVariable Selection | —Unverified | 0 | 0 |
| A Cluster Elastic Net for Multivariate Regression | Jul 12, 2017 | Clusteringregression | —Unverified | 0 | 0 |
| A comparison of different types of Niching Genetic Algorithms for variable selection in solar radiation estimation | Feb 14, 2020 | Evolutionary AlgorithmsVariable Selection | —Unverified | 0 | 0 |
| A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife | Jun 19, 2017 | Selection biasVariable Selection | —Unverified | 0 | 0 |
| A Comparison of Variable Selection Methods for Blockwise Diagonal Designs | Sep 29, 2021 | Variable Selection | —Unverified | 0 | 0 |
| A convex formulation for high-dimensional sparse sliced inverse regression | Sep 17, 2018 | Dimensionality Reductionregression | —Unverified | 0 | 0 |
