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regression

Papers

Showing 15761600 of 9424 papers

TitleStatusHype
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression0
Object Location Prediction in Real-time using LSTM Neural Network and Polynomial Regression0
HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms0
Comparative Analysis of Linear Regression, Gaussian Elimination, and LU Decomposition for CT Real Estate Purchase Decisions0
Improved identification accuracy in equation learning via comprehensive R^2-elimination and Bayesian model selectionCode0
Piecewise Polynomial Regression of Tame Functions via Integer Programming0
Regressions under Adverse Conditions0
Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies0
Do we listen to what we are told? An empirical study on human behaviour during the COVID-19 pandemic: neural networks vs. regression analysis0
The limitation of neural nets for approximation and optimizationCode0
Machine-Guided Discovery of a Real-World Rogue Wave ModelCode1
Classifier Calibration with ROC-Regularized Isotonic Regression0
Predictive Density Combination Using a Tree-Based Synthesis Function0
Eliminating Quantization Errors in Classification-Based Sound Source LocalizationCode0
Regression-Based Analysis of Multimodal Single-Cell Data Integration Strategies0
A unified consensus-based parallel ADMM algorithm for high-dimensional regression with combined regularizationsCode0
Incorporating LLM Priors into Tabular Learners0
Non-Contact NIR PPG Sensing through Large Sequence Signal Regression0
Evidential Uncertainty Quantification: A Variance-Based PerspectiveCode1
(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIsCode0
BrainZ-BP: A Non-invasive Cuff-less Blood Pressure Estimation Approach Leveraging Brain Bio-impedance and ElectrocardiogramCode0
Flat Minima in Linear Estimation and an Extended Gauss Markov TheoremCode0
Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension0
Accelerating L-shaped Two-stage Stochastic SCUC with Learning Integrated Benders Decomposition0
Surprisal Driven k-NN for Robust and Interpretable Nonparametric Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79Unverified
2Baseline RegressionR2 Score0.58Unverified
3Mimic / SurrogateR2 Score0.57Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86Unverified
2Baseline RegressionR2 Score0.59Unverified
3Mimic / SurrogateR2 Score0.58Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87Unverified
2Baseline RegressionR2 Score0.78Unverified
3Mimic / SurrogateR2 Score0.78Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98Unverified
2Baseline RegressionR2 Score-0.01Unverified
3Mimic / SurrogateR2 Score-0.01Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93Unverified
2RF-ToxPrintchemical macro-average RMSE0.85Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84Unverified