| A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression | Oct 23, 2024 | regression | —Unverified | 0 |
| Component-wise Adaptive Trimming For Robust Mixture Regression | May 23, 2020 | Outlier Detectionparameter estimation | —Unverified | 0 |
| A New Algorithm for Tessellated Kernel Learning | Jun 13, 2020 | regression | —Unverified | 0 |
| Adults in the room? The auditor and dividends in small firms: Evidence from a natural experiment | Jan 26, 2023 | regression | —Unverified | 0 |
| A new ADMM algorithm for the Euclidean median and its application to robust patch regression | Jan 16, 2015 | DenoisingImage Denoising | —Unverified | 0 |
| A new adjusted maximum likelihood method for the Fay–Herriot small area model | Nov 20, 2013 | regression | —Unverified | 0 |
| A Comprehensive Analysis on Machine Learning based Methods for Lung Cancer Level Classification | Jan 30, 2025 | regression | —Unverified | 0 |
| Integrated Data Analysis of Plasma Electron Density Profile Tomography for HL-3 with Gaussian Process Regression | Feb 13, 2025 | DiagnosticGPR | —Unverified | 0 |
| Boundary Distribution Estimation for Precise Object Detection | Nov 2, 2021 | Objectobject-detection | —Unverified | 0 |
| Bounds for Approximate Regret-Matching Algorithms | Oct 3, 2019 | regression | —Unverified | 0 |
| An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas | Sep 29, 2024 | regression | —Unverified | 0 |
| A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems | Nov 27, 2021 | regression | —Unverified | 0 |
| An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers | Aug 1, 2022 | regression | —Unverified | 0 |
| An Evaluation of the EEG alpha-to-theta and theta-to-alpha band Ratios as Indexes of Mental Workload | Feb 22, 2022 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
| Optimal Rates and Saturation for Noiseless Kernel Ridge Regression | Feb 24, 2024 | regression | —Unverified | 0 |
| A Neural Network Anomaly Detector Using the Random Cluster Model | Jan 28, 2015 | Anomaly DetectionGeneral Classification | —Unverified | 0 |
| A Dual Branch Network for Emotional Reaction Intensity Estimation | Mar 16, 2023 | regression | —Unverified | 0 |
| A Neural Mean Embedding Approach for Back-door and Front-door Adjustment | Oct 12, 2022 | counterfactualDensity Estimation | —Unverified | 0 |
| A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia | Feb 6, 2020 | regressionSpecificity | —Unverified | 0 |
| A Composite T60 Regression and Classification Approach for Speech Dereverberation | Feb 9, 2023 | regressionSpeech Dereverberation | —Unverified | 0 |
| A Blockwise Descent Algorithm for Group-penalized Multiresponse and Multinomial Regression | Nov 26, 2013 | regression | —Unverified | 0 |
| BOTDA Fiber Sensor System Based on FPGA Accelerated Support Vector Regression | Dec 29, 2018 | CPUregression | —Unverified | 0 |
| A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems | Oct 16, 2021 | Bayesian OptimizationModel Selection | —Unverified | 0 |
| An Epsilon Hierarchical Fuzzy Twin Support Vector Regression | Sep 10, 2015 | regression | —Unverified | 0 |
| Adjustment with Many Regressors Under Covariate-Adaptive Randomizations | Apr 17, 2023 | Causal Inferenceregression | —Unverified | 0 |
