| A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models | Sep 12, 2023 | Model Selectionregression | —Unverified | 0 | 0 |
| Enhancing Symbolic Regression and Universal Physics-Informed Neural Networks with Dimensional Analysis | Nov 24, 2024 | regressionSymbolic Regression | —Unverified | 0 | 0 |
| Enhancing Supply Chain Resilience: A Machine Learning Approach for Predicting Product Availability Dates Under Disruption | Apr 28, 2023 | regression | —Unverified | 0 | 0 |
| Symbolic Regression on Sparse and Noisy Data with Gaussian Processes | Sep 20, 2023 | Gaussian Processesregression | —Unverified | 0 | 0 |
| GPTreeO: An R package for continual regression with dividing local Gaussian processes | Oct 1, 2024 | Continual LearningGaussian Processes | —Unverified | 0 | 0 |
| GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification | Aug 8, 2020 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Brute-Force Facial Landmark Analysis With A 140,000-Way Classifier | Feb 6, 2018 | General Classificationregression | —Unverified | 0 | 0 |
| GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network | May 22, 2017 | Lesion Detectionregression | —Unverified | 0 | 0 |
| Enhancing Social Media Post Popularity Prediction with Visual Content | May 3, 2024 | Predictionregression | —Unverified | 0 | 0 |
| Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization | Apr 26, 2023 | regression | —Unverified | 0 | 0 |