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regression

Papers

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Showing 2201–2225 of 9424 papers

TitleStatusHype
Investigation on data fusion of sun-induced chlorophyll fluorescence and reflectance for photosynthetic capacity of rice—0
Global Convergence of Online Identification for Mixed Linear Regression—0
Union-over-Intersections: Object Detection beyond Winner-Takes-AllCode0
Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction—0
Extrapolating Away from the Cutoff in Regression Discontinuity Designs—0
A natural language processing-based approach: mapping human perception by understanding deep semantic features in street view images—0
Learning to Simulate: Generative Metamodeling via Quantile Regression—0
A Bag of Receptive Fields for Time Series Extrinsic Predictions—0
Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization—0
Spatially Adaptive Cloth Regression with Implicit Neural Representations—0
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift—0
Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles—0
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction—0
(Frisch-Waugh-Lovell)': On the Estimation of Regression Models by Row—0
Local Convergence of Approximate Newton Method for Two Layer Nonlinear Regression—0
More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory—0
Disruption Prediction in Fusion Devices through Feature Extraction and Logistic Regression—0
Analysis of the expected L_2 error of an over-parametrized deep neural network estimate learned by gradient descent without regularization—0
Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters—0
Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculusCode0
Object Location Prediction in Real-time using LSTM Neural Network and Polynomial Regression—0
HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms—0
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression—0
Piecewise Polynomial Regression of Tame Functions via Integer Programming—0
Improved identification accuracy in equation learning via comprehensive R^2-elimination and Bayesian model selectionCode0
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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