| A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS) | Mar 14, 2017 | regression | —Unverified | 0 | 0 |
| A framework for learned sparse sketches | Jan 1, 2021 | Clusteringregression | —Unverified | 0 | 0 |
| A Framework for On-line Learning of Underwater Vehicles Dynamic Models | Mar 13, 2019 | Incremental Learningregression | —Unverified | 0 | 0 |
| A Framework of Learning Through Empirical Gain Maximization | Sep 29, 2020 | Learning Theoryregression | —Unverified | 0 | 0 |
| A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins | Jan 30, 2023 | Bayesian OptimizationGaussian Processes | —Unverified | 0 | 0 |
| A Functional Analysis Approach to Symbolic Regression | Feb 9, 2024 | Benchmarkingregression | —Unverified | 0 | 0 |
| A Functional Regression approach to Facial Landmark Tracking | Dec 7, 2016 | Face DetectionIncremental Learning | —Unverified | 0 | 0 |
| A Fundamental Accuracy--Robustness Trade-off in Regression and Classification | Nov 6, 2024 | Adversarial Robustnessregression | —Unverified | 0 | 0 |
| A Fused Elastic Net Logistic Regression Model for Multi-Task Binary Classification | Dec 30, 2013 | Binary ClassificationGeneral Classification | —Unverified | 0 | 0 |
| A Fuzzy-set-based Joint Distribution Adaptation Method for Regression and its Application to Online Damage Quantification for Structural Digital Twin | Nov 3, 2022 | Domain Adaptationregression | —Unverified | 0 | 0 |
| A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options | Nov 13, 2023 | Gaussian ProcessesGPR | —Unverified | 0 | 0 |
| A Gaussian Process-based Price-Amount Curve Construction for Demand Response Provided by Internet Data Centers | Dec 2, 2020 | regression | —Unverified | 0 | 0 |
| A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking | Nov 25, 2022 | Gaussian ProcessesGPR | —Unverified | 0 | 0 |
| A Gaussian Process Regression Model for Distribution Inputs | Jan 31, 2017 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 | 0 |
| AGBoost: Attention-based Modification of Gradient Boosting Machine | Jul 12, 2022 | regression | —Unverified | 0 | 0 |
| A General Class of Transfer Learning Regression without Implementation Cost | Jun 23, 2020 | Density Ratio Estimationregression | —Unverified | 0 | 0 |
| A General Framework for Fair Regression | Oct 10, 2018 | FairnessGaussian Processes | —Unverified | 0 | 0 |
| A General Framework for Fast Stagewise Algorithms | Aug 25, 2014 | DenoisingImage Denoising | —Unverified | 0 | 0 |
| A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression | Dec 30, 2014 | parameter estimationquantile regression | —Unverified | 0 | 0 |
| A generalisation of the method of regression calibration and comparison with Bayesian and frequentist model averaging methods | Dec 3, 2023 | regression | —Unverified | 0 | 0 |
| A generalised OMP algorithm for feature selection with application to gene expression data | Apr 1, 2020 | Binary Classificationfeature selection | —Unverified | 0 | 0 |
| A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery | Oct 16, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 | 0 |
| A Generalized Framework for Predictive Clustering and Optimization | May 7, 2023 | Clusteringglobal-optimization | —Unverified | 0 | 0 |
| A Generalized Kernel Approach to Structured Output Learning | May 10, 2012 | regression | —Unverified | 0 | 0 |
| A Generalized Meta-loss function for regression and classification using privileged information | Nov 16, 2018 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
