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regression

Papers

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Showing 4176–4200 of 9424 papers

TitleStatusHype
Important Molecular Descriptors Selection Using Self Tuned Reweighted Sampling Method for Prediction of Antituberculosis Activity—0
Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness—0
Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension—0
AsynEIO: Asynchronous Monocular Event-Inertial Odometry Using Gaussian Process Regression—0
Inference on Strongly Identified Functionals of Weakly Identified Functions—0
Debiased Ill-Posed Regression—0
Asynchronous Distributed Variational Gaussian Processes for Regression—0
Alejandro Mosquera at SemEval-2021 Task 1: Exploring Sentence and Word Features for Lexical Complexity Prediction—0
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models—0
Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions—0
Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document—0
Dealing with Collinearity in Large-Scale Linear System Identification Using Gaussian Regression—0
Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models—0
A least squares support vector regression for anisotropic diffusion filtering—0
Implicit Regression in Subspace for High-Sensitivity CEST Imaging—0
Asymptotics of Ridge Regression in Convolutional Models—0
DDNet: Dual-path Decoder Network for Occlusion Relationship Reasoning—0
A least distance estimator for a multivariate regression model using deep neural networks—0
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation—0
Asymptotics of Ridge (less) Regression under General Source Condition—0
Accurate Object Detection with Joint Classification-Regression Random Forests—0
D-CODE: Discovering Closed-form ODEs from Observed Trajectories—0
Asymptotics of Random Feature Regression Beyond the Linear Scaling Regime—0
Asymptotics of Non-Convex Generalized Linear Models in High-Dimensions: A proof of the replica formula—0
Datenqualität in Regressionsproblemen—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