| Data-driven HVAC Control Using Symbolic Regression: Design and Implementation | Apr 6, 2023 | energy managementManagement | —Unverified | 0 |
| Improved motion correction for functional MRI using an omnibus regression model | Jan 21, 2020 | Functional Connectivityregression | —Unverified | 0 |
| Improved PAC-Bayesian Bounds for Linear Regression | Dec 6, 2019 | regressionTime Series | —Unverified | 0 |
| Improved Point Estimation for the Rayleigh Regression Model | Aug 7, 2022 | regression | —Unverified | 0 |
| Improved prediction of soil properties with Multi-target Stacked Generalisation on EDXRF spectra | Feb 11, 2020 | Multi-target regressionregression | —Unverified | 0 |
| Improved prediction rule ensembling through model-based data generation | Sep 28, 2021 | Predictionregression | —Unverified | 0 |
| Data-Driven Constitutive Relation Reveals Scaling Law for Hydrodynamic Transport Coefficients | Aug 1, 2021 | regressionRelation | —Unverified | 0 |
| Improved Text Classification of Long-term Care Materials | Oct 1, 2021 | Classificationregression | —Unverified | 0 |
| Data-driven Optimal Cost Selection for Distributionally Robust Optimization | May 19, 2017 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Improve Generalization Ability of Deep Wide Residual Network with A Suitable Scaling Factor | Mar 7, 2024 | regression | —Unverified | 0 |
| Data-driven PDE discovery with evolutionary approach | Mar 19, 2019 | Equation DiscoveryForm | —Unverified | 0 |
| A Symbolic Regression Method for Dynamic Modeling and Control of Quadrotor UAVs | May 7, 2021 | Positionregression | —Unverified | 0 |
| Improve SAT-solving with Machine Learning | Oct 30, 2017 | BIG-bench Machine LearningMulti-Stage Campaigning Optimization | —Unverified | 0 |
| Improving Adaptivity via Over-Parameterization in Sequence Models | Sep 2, 2024 | regression | —Unverified | 0 |
| epBRM: Improving a Quality of 3D Object Detection using End Point Box Regression Module | Sep 27, 2019 | 3D Object DetectionAutonomous Vehicles | —Unverified | 0 |
| Improving Cardiovascular Disease Prediction Through Comparative Analysis of Machine Learning Models: A Case Study on Myocardial Infarction | Nov 1, 2023 | Disease Predictionregression | —Unverified | 0 |
| Improving Causal Effect Estimation of Weighted RegressionBased Estimator using Neural Networks | Oct 28, 2021 | regression | —Unverified | 0 |
| Data-Driven Prediction Model of Components Shift during Reflow Process in Surface Mount Technology | Jan 27, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Adaptive Bayesian Linear Regression for Automated Machine Learning | Apr 1, 2019 | AutoMLBayesian Optimization | —Unverified | 0 |
| Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation | Dec 1, 2010 | Pose EstimationPrediction | —Unverified | 0 |
| Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm | May 26, 2019 | regression | —Unverified | 0 |
| A Kernelizable Primal-Dual Formulation of the Multilinear Singular Value Decomposition | Oct 14, 2024 | regression | —Unverified | 0 |
| Out-of-distribution robustness for multivariate analysis via causal regularisation | Mar 4, 2024 | Causal Inferenceregression | —Unverified | 0 |
| INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction | Jun 1, 2015 | regressionSentiment Analysis | —Unverified | 0 |
| Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds | Sep 21, 2023 | Gaussian ProcessesPAC learning | —Unverified | 0 |
