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regression

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Showing 9226–9250 of 9424 papers

TitleStatusHype
Fast Approximate L_infty Minimization: Speeding Up Robust Regression—0
Sparse Signal Processing with Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach—0
Infinitely imbalanced binomial regression and deformed exponential families—0
Efficiently Using Second Order Information in Large l1 Regularization Problems—0
Comparing Expert Systems Built Using Different Uncertain Inference Systems—0
Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression—0
Sparse Projections of Medical Images onto Manifolds—0
Phase I Analysis of Individual Observations with Missing Data—0
Integrated Pre-Processing for Bayesian Nonlinear System Identification with Gaussian Processes—0
Gaussian Processes for Nonlinear Signal Processing—0
Complex Support Vector Machines for Regression and Quaternary Classification—0
Bayesian Compressed Regression—0
Scale Selection of Adaptive Kernel Regression by Joint Saliency Map for Nonrigid Image Registration—0
On the convergence of the IRLS algorithm in Non-Local Patch Regression—0
Multi-Step Regression Learning for Compositional Distributional Semantics—0
A New Monte Carlo Based Algorithm for the Gaussian Process Classification Problem—0
Fraud/Uncollectible Debt Detection Using a Bayesian Network Based Learning System: A Rare Binary Outcome with Mixed Data Structures—0
Structure Discovery in Nonparametric Regression through Compositional Kernel SearchCode0
Feature Multi-Selection among Subjective Features—0
Local Structure Matching Driven by Joint-Saliency-Structure Adaptive Kernel Regression—0
Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results—0
Heteroscedastic Conditional Ordinal Random Fields for Pain Intensity Estimation from Facial Images—0
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory—0
Transfer Learning Using Logistic Regression in Credit Scoring—0
Gaussian Process Regression with Heteroscedastic or Non-Gaussian Residuals—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