SOTAVerified

regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2801–2850 of 9424 papers

TitleStatusHype
Complex-Valued Gaussian Processes for Regression—0
Complex support vector machines regression for robust channel estimation in LTE downlink system—0
A predictive estimator of finite population mean using nonparametric regression—0
Complex Support Vector Machines for Regression and Quaternary Classification—0
Complexity Measures for Multi-objective Symbolic Regression—0
A prediction rigidity formalism for low-cost uncertainties in trained neural networks—0
Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients—0
Sharp Analysis of a Simple Model for Random Forests—0
A prediction-based approach for online dynamic patient scheduling: a case study in radiotherapy treatment—0
A General Class of Transfer Learning Regression without Implementation Cost—0
Complementary Composite Minimization, Small Gradients in General Norms, and Applications—0
Compensating data shortages in manufacturing with monotonicity knowledge—0
A Precise Performance Analysis of Support Vector Regression—0
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression—0
Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale—0
A precise machine learning aided algorithm for land subsidence or upheave prediction from GNSS time series—0
Comparison of statistical post-processing methods for probabilistic NWP forecasts of solar radiation—0
Comparison of several short-term traffic speed forecasting models—0
Comparison of Microservice Call Rate Predictions for Replication in the Cloud—0
Comparison of machine learning and statistical approaches for digital elevation model (DEM) correction: interim results—0
Approximation Schemes for ReLU Regression—0
AGBoost: Attention-based Modification of Gradient Boosting Machine—0
Accelerating Stochastic Gradient Descent For Least Squares Regression—0
3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds—0
Batch Active Learning in Gaussian Process Regression using Derivatives—0
Regression from Dependent Observations—0
Comparison of machine learning algorithms for merging gridded satellite and earth-observed precipitation data—0
Approximation Properties of Variational Bayes for Vector Autoregressions—0
Comparison of decision trees with Local Interpretable Model-Agnostic Explanations (LIME) technique and multi-linear regression for explaining support vector regression model in terms of root mean square error (RMSE) values—0
Comparison of Classical and Nonlinear Models for Short-Term Electricity Price Prediction—0
Approximation of RKHS Functionals by Neural Networks—0
A Gaussian Process Regression Model for Distribution Inputs—0
Comparison of Artificial Intelligence Techniques for Project Conceptual Cost Prediction—0
Comparison-Based Random Forests—0
Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions—0
Comparison Analysis of Tree Based and Ensembled Regression Algorithms for Traffic Accident Severity Prediction—0
Comparing various regression methods on ensemble strategies in differential evolution—0
Approximation Bounds for Transformer Networks with Application to Regression—0
A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking—0
Active Heteroscedastic Regression—0
Comparing the Moore-Penrose Pseudoinverse and Gradient Descent for Solving Linear Regression Problems: A Performance Analysis—0
Comparing Supervised Machine Learning Techniques for Genre Analysis in Software Engineering Research Articles—0
Approximation Bounds for Recurrent Neural Networks with Application to Regression—0
Comparing Shape-Constrained Regression Algorithms for Data Validation—0
Comparing Semi-Parametric Model Learning Algorithms for Dynamic Model Estimation in Robotics—0
Approximation bounds for norm constrained neural networks with applications to regression and GANs—0
A Gaussian Process-based Price-Amount Curve Construction for Demand Response Provided by Internet Data Centers—0
Comparing regularisation paths of (conjugate) gradient estimators in ridge regression—0
Comparing Multilayer Perceptron and Multiple Regression Models for Predicting Energy Use in the Balkans—0
Approximating Score-based Explanation Techniques Using Conformal Regression—0
Show:102550
← PrevPage 57 of 189Next →
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