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regression

Papers

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Showing 5276–5300 of 9424 papers

TitleStatusHype
Fair regression via plug-in estimator and recalibration with statistical guarantees—0
Detection as Regression: Certified Object Detection with Median Smoothing—0
Faheem at NADI shared task: Identifying the dialect of Arabic tweet—0
Generalised Bayesian Filtering via Sequential Monte Carlo—0
A Hypergradient Approach to Robust Regression without Correspondence—0
RegFlow: Probabilistic Flow-based Regression for Future Prediction—0
Unsupervised Path Regression Networks—0
FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBeliefCode0
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts—0
Approximate Cross-validated Mean Estimates for Bayesian Hierarchical Regression ModelsCode0
RGBD-Net: Predicting color and depth images for novel views synthesis—0
Active Output Selection Strategies for Multiple Learning Regression Models—0
A Boundary Regression Model for Nested Named Entity RecognitionCode0
Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning—0
On Generalization of Adaptive Methods for Over-parameterized Linear Regression—0
A Role for Prior Knowledge in Statistical Classification of the Transition from MCI to Alzheimer's Disease—0
Machine Intelligent Techniques for Ramp Event Prediction in Offshore and Onshore Wind Farms—0
Arbitrary-Oriented Object Detection in Remote Sensing Images Based on Polar Coordinates—0
Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials—0
Equivalence of Convergence Rates of Posterior Distributions and Bayes Estimators for Functions and Nonparametric Functionals—0
Toe-Heal-Air-Injection Thermal Recovery Production Prediction and Modelling Using Quadratic Poisson Polynomial Regression—0
A Comparison of Statistical and Machine Learning Algorithms for Predicting Rents in the San Francisco Bay Area—0
Modelling brain lesion volume in patches with CNN-based Poisson Regression—0
CYPUR-NN: Crop Yield Prediction Using Regression and Neural Networks—0
CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking—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