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regression

Papers

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Showing 5101–5125 of 9424 papers

TitleStatusHype
Fitting very flexible models: Linear regression with large numbers of parameters—0
Fundamental Tradeoffs in Distributionally Adversarial Training—0
A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC—0
Joint Dimensionality Reduction for Separable Embedding Estimation—0
TUDublin team at Constraint@AAAI2021 -- COVID19 Fake News Detection—0
Multiscale regression on unknown manifolds—0
Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control—0
Empirical Decomposition of the IV-OLS Gap with Heterogeneous and Nonlinear Effects—0
Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series—0
Using the Econometric Models for Identification of Risk Factors for Albanian SMEs (Case study: SMEs of Gjirokastra region)—0
Joint Prediction of Remaining Useful Life and Failure Type of Train Wheelsets: A Multi-task Learning Approach—0
Discriminative Noise Robust Sparse Orthogonal Label Regression-based Domain Adaptation—0
Heteroscedasticity-aware residuals-based contextual stochastic optimization—0
Learning a binary search with a recurrent neural network. A novel approach to ordinal regression analysis—0
Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods—0
A Novel Regression Loss for Non-Parametric Uncertainty Optimization—0
Weighted Ensemble-model and Network Analysis: A method to predict fluid intelligence via naturalistic functional connectivity—0
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models—0
Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models—0
Predicting CEO Compensation in Non-Controlled Public Corporations with the Canonical Regression Quantile Method—0
A unifying approach on bias and variance analysis for classification—0
CLeaR: An Adaptive Continual Learning Framework for Regression Tasks—0
Gauss-Legendre Features for Gaussian Process Regression—0
Regression Discontinuity Design with Many Thresholds—0
COVID-19 spreading in financial networks: A semiparametric matrix regression model—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