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regression

Papers

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Showing 4251–4275 of 9424 papers

TitleStatusHype
Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation—0
Bisecting for selecting: using a Laplacian eigenmaps clustering approach to create the new European football Super League—0
An Evaluation of the EEG alpha-to-theta and theta-to-alpha band Ratios as Indexes of Mental Workload—0
Optimal Rates and Saturation for Noiseless Kernel Ridge Regression—0
Efficient AUC Optimization for Information Ranking Applications—0
Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU Networks : Function Approximation and Statistical Recovery—0
Approaches to biological species delimitation based on genetic and spatial dissimilarity—0
Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses—0
Efficient and Scalable Multi-task Regression on Massive Number of Tasks—0
Biogeography-Based Optimization and Support Vector Regression for Freeway Travel Time Prediction and Feature Selection—0
Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms—0
Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization—0
Efficient and Consistent Robust Time Series Analysis—0
Efficient and Adaptive Linear Regression in Semi-Supervised Settings—0
A Neural Network Anomaly Detector Using the Random Cluster Model—0
Efficient and Accurate Face Alignment by Global Regression and Cascaded Local Refinement—0
Efficient Algorithms for Outlier-Robust Regression—0
Binary Space Partitioning Forests—0
Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization—0
Efficient algorithms for multivariate shape-constrained convex regression problems—0
Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models—0
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment—0
Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models—0
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts—0
Efficient Algorithms and Lower Bounds for Robust Linear Regression—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