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regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8376–8400 of 9424 papers

TitleStatusHype
Comprehensive Study Of Predictive Maintenance In Industries Using Classification Models And LSTM Model—0
Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning—0
Compressed Gaussian Process—0
Compressed Least-Squares Regression—0
Compressed Regression—0
Compressed Regression over Adaptive Networks—0
Compressed Sensing and Overparametrized Networks: Overfitting Peaks in a Model of Misparametrized Sparse Regression in the Interpolation Limit—0
Compressed Sensing with Adversarial Sparse Noise via L1 Regression—0
Compression strategies and space-conscious representations for deep neural networks—0
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition—0
Computational Efficiency under Covariate Shift in Kernel Ridge Regression—0
Computationally and Statistically Efficient Truncated Regression—0
Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression—0
Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation—0
Computationally Efficient Robust Estimation of Sparse Functionals—0
Computationally efficient versions of conformal predictive distributions—0
Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression—0
Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression—0
Computing Approximate _p Sensitivities—0
Computing flood probabilities using Twitter: application to the Houston urban area during Harvey—0
Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model—0
Comunication-Efficient Algorithms for Statistical Optimization—0
Concentration inequalities for leave-one-out cross validation—0
Concentration inequalities under sub-Gaussian and sub-exponential conditions—0
A Concentration of Measure Framework to study convex problems and other implicit formulation problems in machine learning—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