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regression

Papers

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Showing 3751–3775 of 9424 papers

TitleStatusHype
Generalized Factor Neural Network Model for High-dimensional Regression—0
Optimized Skeleton-based Action Recognition via Sparsified Graph Regression—0
Equivalence of Convergence Rates of Posterior Distributions and Bayes Estimators for Functions and Nonparametric Functionals—0
Generalized Information Criteria for Structured Sparse Models—0
Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery—0
Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection—0
Kernel methods for long term dose response curves—0
Generalized Learning with Rejection for Classification and Regression Problems—0
Generalized Leverage Score Sampling for Neural Networks—0
Generalized Linear Model Regression under Distance-to-set Penalties—0
Generalized Linear Models with Structured Sparsity Estimators—0
Generalized Linear Rule Models—0
An Improved Deep Belief Network Model for Road Safety Analyses—0
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory—0
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy—0
Generalized Quantile Loss for Deep Neural Networks—0
Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors—0
An Improved Composite Functional Gradient Learning by Wasserstein Regularization for Generative adversarial networks—0
Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing—0
Entropic Regression DMD (ERDMD) Discovers Informative Sparse and Nonuniformly Time Delayed Models—0
Generalized support vector regression: duality and tensor-kernel representation—0
Generalizing semi-supervised generative adversarial networks to regression using feature contrasting—0
Generalizing the SINDy approach with nested neural networks—0
General Regression Neural Networks, Radial Basis Function Neural Networks, Support Vector Machines, and Feedforward Neural Networks—0
An Improved Approach for Prediction of Parkinson's Disease using Machine Learning Techniques—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