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regression

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Showing 2901–2925 of 9424 papers

TitleStatusHype
Efficient Multiple Incremental Computation for Kernel Ridge Regression with Bayesian Uncertainty Modeling—0
Efficient Multiscale Gaussian Process Regression using Hierarchical Clustering—0
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation—0
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction—0
Block stochastic gradient iteration for convex and nonconvex optimization—0
Efficient Optimization Algorithms for Linear Adversarial Training—0
Efficient Optimization for Sparse Gaussian Process Regression—0
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method—0
Efficient Path Algorithms for Clustered Lasso and OSCAR—0
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation—0
Efficient Regression in Metric Spaces via Approximate Lipschitz Extension—0
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data—0
Efficient Regularized Piecewise-Linear Regression Trees—0
Efficient Regularized Regression for Variable Selection with L0 Penalty—0
A Unified Weight Learning and Low-Rank Regression Model for Robust Complex Error Modeling—0
Efficient Sampling for Gaussian Process Inference using Control Variables—0
Efficient semi-supervised inference for logistic regression under case-control studies—0
Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces—0
A machine learning-based framework for high resolution mapping of PM2.5 in Tehran, Iran, using MAIAC AOD data—0
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy—0
Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering—0
Efficient Strongly Polynomial Algorithms for Quantile Regression—0
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation—0
Efficient Symmetric Norm Regression via Linear Sketching—0
Deep Learning Models to Predict Pediatric Asthma Emergency Department Visits—0
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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