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regression

Papers

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Showing 7626–7650 of 9424 papers

TitleStatusHype
An Ordered Lasso and Sparse Time-Lagged Regression—0
A Note on Coding and Standardization of Categorical Variables in (Sparse) Group Lasso Regression—0
A Note on Estimation Error Bound and Grouping Effect of Transfer Elastic Net—0
A Note On Nonlinear Regression Under L2 Loss—0
A Note on the Asymptotic Properties of the GLS Estimator in Multivariate Regression with Heteroskedastic and Autocorrelated Errors—0
A note relating ridge regression and OLS p-values to preconditioned sparse penalized regression—0
A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression—0
A Novel Approach for Machine Learning-based Load Balancing in High-speed Train System using Nested Cross Validation—0
A Novel Approach in Solving Stochastic Generalized Linear Regression via Nonconvex Programming—0
A Novel Approach to Forecasting Financial Volatility with Gaussian Process Envelopes—0
A Novel Bounding Box Regression Method for Single Object Tracking—0
A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC—0
A Novel Clustering-Based Algorithm for Continuous and Non-invasive Cuff-Less Blood Pressure Estimation—0
A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming—0
A Novel Epidemiological Approach to Geographically Mapping Population Dry Eye Disease in the United States through Google Trends—0
A Novel Explanation Against Linear Neural Networks—0
A Novel Framework for Improving the Breakdown Point of Robust Regression Algorithms—0
A Novel GDP Prediction Technique based on Transfer Learning using CO2 Emission Dataset—0
A Novel Large-scale Ordinal Regression Model—0
A Novel Method For Designing Transferable Soft Sensors And Its Application—0
A Novel Multi-Period and Multilateral Price Index—0
A Novel Plug-and-Play Approach for Adversarially Robust Generalization—0
A Novel Regression Loss for Non-Parametric Uncertainty Optimization—0
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data—0
A Novel Smoothed Loss and Penalty Function for Noncrossing Composite Quantile Estimation via Deep Neural Networks—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