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regression

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Showing 7426–7450 of 9424 papers

TitleStatusHype
Almost Sure Uniqueness of a Global Minimum Without Convexity—0
A Local Gaussian Process Regression Approach to Frequency Response Function Estimation—0
A Log-Linear Time Sequential Optimal Calibration Algorithm for Quantized Isotonic L2 Regression—0
A Lottery-Demand-Based Explanation of the Beta Anomaly—0
Alternating Minimization Converges Super-Linearly for Mixed Linear Regression—0
Alternating Minimization for Mixed Linear Regression—0
Alternating Minimization for Regression Problems with Vector-valued Outputs—0
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of f-Regression Counterfactual Regret Minimization—0
A Machine Learning Alternative to P-values—0
A Machine Learning Approach for Design of Frequency Selective Surface based Radar Absorbing Material via Image Prediction—0
A machine learning approach for efficient multi-dimensional integration—0
A machine learning approach to the prediction of heat-transfer coefficients in micro-channels—0
A machine learning-based framework for high resolution mapping of PM2.5 in Tehran, Iran, using MAIAC AOD data—0
A Machine Learning Data Fusion Model for Soil Moisture Retrieval—0
A Marginalized Particle Gaussian Process Regression—0
A Mathematical Programming Approach for Integrated Multiple Linear Regression Subset Selection and Validation—0
A maximum principle argument for the uniform convergence of graph Laplacian regressors—0
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression—0
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings—0
A Melting Pot of Evolution and Learning—0
A Meta-Analysis of Solar Forecasting Based on Skill Score—0
A Meta-learning based Stacked Regression Approach for Customer Lifetime Value Prediction—0
A Metamodel Structure For Regression Analysis: Application To Prediction Of Autism Spectrum Disorder Severity—0
A Method for Inferring Polymers Based on Linear Regression and Integer Programming—0
A Methodology for Customizing Clinical Tests for Esophageal Cancer based on Patient Preferences—0
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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