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regression

Papers

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Showing 2226–2250 of 9424 papers

TitleStatusHype
Improved identification accuracy in equation learning via comprehensive R^2-elimination and Bayesian model selectionCode0
Piecewise Polynomial Regression of Tame Functions via Integer Programming—0
Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies—0
Predictive Density Combination Using a Tree-Based Synthesis Function—0
Do we listen to what we are told? An empirical study on human behaviour during the COVID-19 pandemic: neural networks vs. regression analysis—0
Classifier Calibration with ROC-Regularized Isotonic Regression—0
The limitation of neural nets for approximation and optimizationCode0
Eliminating Quantization Errors in Classification-Based Sound Source LocalizationCode0
A unified consensus-based parallel ADMM algorithm for high-dimensional regression with combined regularizationsCode0
Regression-Based Analysis of Multimodal Single-Cell Data Integration Strategies—0
Incorporating LLM Priors into Tabular Learners—0
Non-Contact NIR PPG Sensing through Large Sequence Signal Regression—0
(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
Surprisal Driven k-NN for Robust and Interpretable Nonparametric Learning—0
Accelerating L-shaped Two-stage Stochastic SCUC with Learning Integrated Benders Decomposition—0
Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension—0
Co-data Learning for Bayesian Additive Regression TreesCode0
Model Agnostic Explainable Selective Regression via Uncertainty Estimation—0
Neuroscience inspired scientific machine learning (Part-1): Variable spiking neuron for regression—0
Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production—0
A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width—0
Statistical learning by sparse deep neural networks—0
Sparse Linear Regression with Constraints: A Flexible Entropy-based Framework—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