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regression

Papers

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Showing 951–975 of 9424 papers

TitleStatusHype
Active Learning of Linear Embeddings for Gaussian Processes—0
Are screening methods useful in feature selection? An empirical study—0
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction—0
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs—0
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs—0
A Generic Regression Framework for Pose Recognition on Color and Depth Images—0
A review of predictive uncertainty estimation with machine learning—0
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators—0
A Review on Quantile Regression for Stochastic Computer Experiments—0
A Review on Symbolic Regression in Power Systems: Methods, Applications, and Future Directions—0
A revised comparison between FF five-factor model and three-factor model,based on China's A-share market—0
Argumentative Explanations for Pattern-Based Text Classifiers—0
A Riemannian gossip approach to subspace learning on Grassmann manifold—0
A rigorous introduction to linear models—0
A Risk Based approach for the Solvency Capital requirement for Health Plans—0
A Risk Comparison of Ordinary Least Squares vs Ridge Regression—0
A risk measurement approach from risk-averse stochastic optimization of score functions—0
A Risk Minimization Principle for a Class of Parzen Estimators—0
A Tutorial on Asymptotic Properties for Biostatisticians with Applications to COVID-19 Data—0
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery—0
A Robust Learning Algorithm for Regression Models Using Distributionally Robust Optimization under the Wasserstein Metric—0
A robust low data solution: dimension prediction of semiconductor nanorods—0
A Robust Machine Learning Approach for Path Loss Prediction in 5G Networks with Nested Cross Validation—0
A Robust Regression Approach for Background/Foreground Segmentation—0
Approximation Bounds for Transformer Networks with Application to Regression—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