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regression

Papers

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Showing 4026–4050 of 9424 papers

TitleStatusHype
Improving the repeatability of deep learning models with Monte Carlo dropoutCode0
Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe ScreeningCode0
Continuously Generalized Ordinal Regression for Linear and Deep Models—0
Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis—0
Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression—0
Spiking Cochlea with System-level Local Automatic Gain Control—0
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field ReconstructionCode0
The Impact of Using Regression Models to Build Defect Classifiers—0
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression—0
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound—0
Posterior Consistency for Bayesian Relevance Vector Machines—0
Scale-free Unconstrained Online Learning for Curved Losses—0
Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach—0
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression—0
Random Forest Weighted Local Fréchet Regression with Random Objects—0
House Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China—0
A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic RegressionCode0
Active Learning Improves Performance on Symbolic RegressionTasks in StackGP—0
SCR: Smooth Contour Regression with Geometric Priors—0
Fourier Representations for Black-Box Optimization over Categorical Variables—0
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning—0
Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes—0
Distribution Regression with Sliced Wasserstein KernelsCode0
Optimal Ratio for Data Splitting—0
Metric-valued regression—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