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regression

Papers

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Showing 3576–3600 of 9424 papers

TitleStatusHype
Fourier Representations for Black-Box Optimization over Categorical Variables—0
Fourier Transform Approach to Machine Learning I: Fourier Regression—0
FPDIoU Loss: A Loss Function for Efficient Bounding Box Regression of Rotated Object Detection—0
An Intelligent QoS Algorithm for Home Networks—0
Estimates on Learning Rates for Multi-Penalty Distribution Regression—0
CAM: Causal additive models, high-dimensional order search and penalized regression—0
espiownage: Tracking Transients in Steelpan Drum Strikes Using Surveillance Technology—0
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators—0
Fraud/Uncollectible Debt Detection Using a Bayesian Network Based Learning System: A Rare Binary Outcome with Mixed Data Structures—0
Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction—0
Fréchet regression with implicit denoising and multicollinearity reduction—0
An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics—0
Adversarial Multiple Source Domain Adaptation—0
Frequency Domain Gaussian Process Models for H^ Uncertainties—0
Data-driven confidence bands for distributed nonparametric regression—0
A Constrained Deep Neural Network for Ordinal Regression—0
A Case-Study on the Impact of Dynamic Time Warping in Time Series Regression—0
FRI -- Feature Relevance Intervals for Interpretable and Interactive Data Exploration—0
FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation—0
(Frisch-Waugh-Lovell)': On the Estimation of Regression Models by Row—0
From Depth Data to Head Pose Estimation: a Siamese approach—0
From Empirical Evaluation to Context-Aware Enhancement: Repairing Regression Errors with LLMs—0
From Estimation to Sampling for Bayesian Linear Regression with Spike-and-Slab Prior—0
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction—0
A Performance Analysis of Lexicase-Based and Traditional Selection Methods in GP for Symbolic Regression—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