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regression

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Showing 1026–1050 of 9424 papers

TitleStatusHype
A Gaussian Process-based Price-Amount Curve Construction for Demand Response Provided by Internet Data Centers—0
Approximating Score-based Explanation Techniques Using Conformal Regression—0
Approximating Optimal Estimation of Time Offset Synchronization with Temperature Variations—0
A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options—0
Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing—0
3D Human Pose Estimation from a Single Image via Distance Matrix Regression—0
Approximate Steepest Coordinate Descent—0
Approximate Leave-one-out Cross Validation for Regression with _1 Regularizers (extended version)—0
A Fuzzy-set-based Joint Distribution Adaptation Method for Regression and its Application to Online Damage Quantification for Structural Digital Twin—0
Approximate Inference for Nonstationary Heteroscedastic Gaussian process Regression—0
A Fused Elastic Net Logistic Regression Model for Multi-Task Binary Classification—0
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models—0
Automated Focal Loss for Image based Object Detection—0
Approximate Gaussian process inference for the drift function in stochastic differential equations—0
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient—0
A Fundamental Accuracy--Robustness Trade-off in Regression and Classification—0
Approximate cross-validation formula for Bayesian linear regression—0
A Functional Regression approach to Facial Landmark Tracking—0
Accelerating L-shaped Two-stage Stochastic SCUC with Learning Integrated Benders Decomposition—0
Automated Learning of Interpretable Models with Quantified Uncertainty—0
Automated Model Selection for Generalized Linear Models—0
Approximate Bayes learning of stochastic differential equations—0
Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference—0
A Functional Analysis Approach to Symbolic Regression—0
Applying Regression Conformal Prediction with Nearest Neighbors to time series data—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