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regression

Papers

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Showing 2801–2825 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
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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