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regression

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Showing 2501–2550 of 9424 papers

TitleStatusHype
Extended Linear Regression: A Kalman Filter Approach for Minimizing Loss via Area Under the Curve—0
Data-driven Identification of Parametric Governing Equations of Dynamical Systems Using the Signed Cumulative Distribution Transform—0
Predicting Drug Solubility Using Different Machine Learning Methods -- Linear Regression Model with Extracted Chemical Features vs Graph Convolutional Neural Network—0
EM for Mixture of Linear Regression with Clustered Data—0
Coarse-to-Fine Multi-Scene Pose Regression with TransformersCode0
Deep Evidential Learning for Bayesian Quantile Regression—0
A step towards understanding why classification helps regressionCode0
High Performance Computing Applied to Logistic Regression: A CPU and GPU Implementation ComparisonCode0
HyperLoRA for PDEs—0
Privacy-Preserving 3-Layer Neural Network Training—0
Defending Label Inference Attacks in Split Learning under Regression Setting—0
Polynomial Bounds for Learning Noisy Optical Physical Unclonable Functions and Connections to Learning With Errors—0
Estimating fire Duration using regression methods—0
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on RegressionCode0
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly DetectionCode0
Linear Regression with Weak Exogeneity—0
Convergence of Two-Layer Regression with Nonlinear Units—0
High-Probability Risk Bounds via Sequential Predictors—0
Reinforcement Learning in Financial Markets: A Study on Dynamic Model Weight AssignmentCode0
Max-affine regression via first-order methods—0
Method for Generating Synthetic Data Combining Chest Radiography Images with Tabular Clinical Information Using Dual Generative Models—0
Implicit ZCA Whitening Effects of Linear Autoencoders for Recommendation—0
Locally Adaptive and Differentiable Regression—0
Optimizing Offensive Gameplan in the National Basketball Association with Machine Learning—0
Quantile Time Series Regression Models Revisited—0
Gaussian Process Regression for Maximum Entropy Distribution—0
A New Approach to Overcoming Zero Trade in Gravity Models to Avoid Indefinite Values in Linear Logarithmic Equations and Parameter Verification Using Machine Learning—0
ViGT: Proposal-free Video Grounding with Learnable Token in Transformer—0
KS-APR: Keyframe Selection for Robust Absolute Pose Regression—0
Interpolation of numerical series by the Fermat-Torricelli point construction method on the example of the numerical series of inflation in the Czech Republic in 2011-2021—0
Teacher-Student Architecture for Knowledge Distillation: A Survey—0
Threshold Regression in Heterogeneous Panel Data with Interactive Fixed Effects—0
Correlating Medi- Claim Service by Deep Learning Neural Networks—0
Iterative Sketching for Secure Coded Regression—0
Robust Ordinal Regression for Subsets Comparisons with Interactions—0
A Meta-learning based Stacked Regression Approach for Customer Lifetime Value Prediction—0
Improving the forecast accuracy of wind power by leveraging multiple hierarchical structureCode0
Gradient Coding with Iterative Block Leverage Score Sampling—0
Structured Low-Rank Tensors for Generalized Linear Models—0
OBESEYE: Interpretable Diet Recommender for Obesity Management using Machine Learning and Explainable AI—0
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory—0
Semi-supervised Contrastive Regression for Estimation of Eye Gaze—0
Fluid Viscosity Prediction Leveraging Computer Vision and Robot InteractionCode0
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data LandscapesCode0
Statistical Estimation Under Distribution Shift: Wasserstein Perturbations and Minimax TheoryCode0
Telematics Combined Actuarial Neural Networks for Cross-Sectional and Longitudinal Claim Count Data—0
Distribution-Free Inference for the Regression Function of Binary Classification—0
ETran: Energy-Based Transferability EstimationCode0
Online covariance estimation for stochastic gradient descent under Markovian sampling—0
Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods—0
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All datasetsCalifornia Housing PricesConcrete Compressive StrengthMedical Cost Personal DatasetSynthetic: y = x * sin xADORECar_Price_Prediction

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79—Unverified
2Baseline RegressionR2 Score0.58—Unverified
3Mimic / SurrogateR2 Score0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86—Unverified
2Baseline RegressionR2 Score0.59—Unverified
3Mimic / SurrogateR2 Score0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87—Unverified
2Baseline RegressionR2 Score0.78—Unverified
3Mimic / SurrogateR2 Score0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98—Unverified
2Baseline RegressionR2 Score-0.01—Unverified
3Mimic / SurrogateR2 Score-0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93—Unverified
2RF-ToxPrintchemical macro-average RMSE0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84—Unverified