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regression

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Showing 3076–3100 of 9424 papers

TitleStatusHype
CGA-PoseNet: Camera Pose Regression via a 1D-Up Approach to Conformal Geometric AlgebraCode0
Predicting the cardinality and maximum degree of a reduced Gröbner basisCode0
Discovery of sparse hysteresis models for piezoelectric materialsCode0
On semiparametric estimation of the intercept of the sample selection model: a kernel approach—0
Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness—0
A Composite T60 Regression and Classification Approach for Speech Dereverberation—0
Domain Generalization by Functional RegressionCode0
Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures—0
Local Law 144: A Critical Analysis of Regression Metrics—0
Fast Linear Model Trees by PILOT—0
Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems—0
IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning—0
Covariate Adjustment in Stratified Experiments—0
Genetic Programming Based Symbolic Regression for Analytical Solutions to Differential Equations—0
Reevaluating the Taylor Rule with Machine Learning—0
A Quantum Neural Network Regression for Modeling Lithium-ion Battery Capacity DegradationCode0
Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification—0
A distribution-free mixed-integer optimization approach to hierarchical modelling of clustered and longitudinal data—0
Fatigue monitoring and maneuver identification for vehicle fleets using a virtual sensing approach—0
Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust—0
Testing for Structural Change under Nonstationarity—0
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion—0
TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Modality—0
Analysis of Biomass Sustainability Indicators from a Machine Learning Perspective—0
Reliable Prediction Intervals with Directly Optimized Inductive Conformal Regression for Deep Learning—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