| Efficient online learning with kernels for adversarial large scale problems | Feb 26, 2019 | regression | CodeCode Available | 0 | 5 |
| Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Models for Time-to-Event Analysis Through the Concordance Index | Mar 13, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| Dynamic Network Quantile Regression Model | Nov 15, 2021 | modelquantile regression | CodeCode Available | 0 | 5 |
| The Complexity of Dynamic Least-Squares Regression | Jan 1, 2022 | regression | CodeCode Available | 0 | 5 |
| Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models | Aug 12, 2022 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Dynamic CoVaR Modeling and Estimation | Jun 28, 2022 | regression | CodeCode Available | 0 | 5 |
| Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for Paleoceanography | Jul 20, 2019 | Bayesian InferenceGPR | CodeCode Available | 0 | 5 |
| Dually Supervised Feature Pyramid for Object Detection and Segmentation | Dec 8, 2019 | Objectobject-detection | CodeCode Available | 0 | 5 |
| Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) data | Jan 17, 2023 | Dimensionality Reductionfeature selection | CodeCode Available | 0 | 5 |
| An efficient projection neural network for _1-regularized logistic regression | May 12, 2021 | feature selectionregression | CodeCode Available | 0 | 5 |