| Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning | Nov 2, 2018 | compressed sensingDenoising | —Unverified | 0 | 0 |
| Data augmentation and feature selection for automatic model recommendation in computational physics | Jan 12, 2021 | ClassificationData Augmentation | —Unverified | 0 | 0 |
| Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection | Feb 26, 2023 | Decoderfeature selection | —Unverified | 0 | 0 |
| Data-dependent compression of random features for large-scale kernel approximation | Oct 9, 2018 | feature selection | —Unverified | 0 | 0 |
| Data Driven based Dynamic Correction Prediction Model for NOx Emission of Coal Fired Boiler | Oct 29, 2021 | feature selection | —Unverified | 0 | 0 |
| Data-driven Feature Sampling for Deep Hyperspectral Classification and Segmentation | Oct 26, 2017 | Classificationfeature selection | —Unverified | 0 | 0 |
| Data-driven formulation of natural laws by recursive-LASSO-based symbolic regression | Feb 18, 2021 | BIG-bench Machine Learningfeature selection | —Unverified | 0 | 0 |
| Data-Driven Learning of Boolean Networks and Functions by Optimal Causation Entropy Principle (BoCSE) | Jun 1, 2020 | Decision Makingfeature selection | —Unverified | 0 | 0 |
| Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality | Aug 3, 2024 | feature selectionImputation | —Unverified | 0 | 0 |
| Data Representation and Compression Using Linear-Programming Approximations | Nov 20, 2015 | Diversityfeature selection | —Unverified | 0 | 0 |
