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regression

Papers

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Showing 1951–1975 of 9424 papers

TitleStatusHype
TMPNN: High-Order Polynomial Regression Based on Taylor Map FactorizationCode0
Towards Practical Robustness Auditing for Linear Regression—0
Tolerating Annotation Displacement in Dense Object Counting via Point Annotation Probability Map—0
HandMIM: Pose-Aware Self-Supervised Learning for 3D Hand Mesh Estimation—0
Noisy Interpolation Learning with Shallow Univariate ReLU Networks—0
One-step smoothing splines instrumental regression—0
EFLNet: Enhancing Feature Learning for Infrared Small Target DetectionCode1
Bootstrapping Nonstationary Autoregressive Processes with Predictive Regression Models—0
Dynamic Regression Discontinuity: An Event-Study Approach—0
Application of Random Forest and Support Vector Machine for Investigation of Pressure Filtration Performance, a Zinc Plant Filter Cake Modeling—0
Improving the Generalization Ability in Essay Coherence Evaluation through Monotonic Constraints—0
Accuracy Improvement in Differentially Private Logistic Regression: A Pre-training Approach—0
Testing for sparse idiosyncratic components in factor-augmented regression models—0
Interpretable Ensemble Learning for Materials Property Prediction with Classical Interatomic Potentials: Carbon as an Example—0
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions—0
Nonparametric Linear Feature Learning in Regression Through RegularisationCode0
Comparative analysis using classification methods versus early stage diabetes—0
NCART: Neural Classification and Regression Tree for Tabular Data—0
Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices—0
SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment ScansCode0
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation—0
SACReg: Scene-Agnostic Coordinate Regression for Visual Localization—0
Conditional expectation network for SHAP—0
Nonlinear Meta-Learning Can Guarantee Faster Rates—0
On minimizing the training set fill distance in machine learning regressionCode0
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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