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regression

Papers

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Showing 1051–1075 of 9424 papers

TitleStatusHype
Near-optimal Active Regression of Single-Index Models—0
On Quantile Regression Forests for Modelling Mixed-Frequency and Longitudinal Data—0
Functional BART with Shape Priors: A Bayesian Tree Approach to Constrained Functional Regression—0
Distributionally Robust Active Learning for Gaussian Process Regression—0
A Machine Learning Approach for Design of Frequency Selective Surface based Radar Absorbing Material via Image Prediction—0
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression NetworksCode0
Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input—0
Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN ArchitecturesCode0
Gaussian Process Regression for Improved Underwater Navigation—0
Comparative Analysis of Black Hole Mass Estimation in Type-2 AGNs: Classical vs. Quantum Machine Learning and Deep Learning Approaches—0
RGB-Only Gaussian Splatting SLAM for Unbounded Outdoor Scenes—0
Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models—0
Human Guided Learning of Transparent Regression Models—0
Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements—0
Explaining the Success of Nearest Neighbor Methods in Prediction—0
biastest: Testing parameter equality across different models in Stata—0
Generalization Certificates for Adversarially Robust Bayesian Linear Regression—0
Modelling the term-structure of default risk under IFRS 9 within a multistate regression framework—0
Regression in EO: Are VLMs Up to the Challenge?—0
OGBoost: A Python Package for Ordinal Gradient Boosting—0
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models—0
A Study on Monthly Marine Heatwave Forecasts in New Zealand: An Investigation of Imbalanced Regression Loss Functions with Neural Network Models—0
The Relationship Between Head Injury and Alzheimer's Disease: A Causal Analysis with Bayesian NetworksCode0
Asymptotic Optimism of Random-Design Linear and Kernel Regression Models—0
Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression—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