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regression

Papers

Showing 78267850 of 9424 papers

TitleStatusHype
A study on speech enhancement using exponent-only floating point quantized neural network (EOFP-QNN)0
A Support Vector Approach in Segmented Regression for Map-assisted Non-cooperative Source Localization0
A ν- support vector quantile regression model with automatic accuracy control0
A support vector regression-based multi-fidelity surrogate model0
A survey and taxonomy of loss functions in machine learning0
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges0
A Survey of Efficient Regression of General-Activity Human Poses from Depth Images0
A Survey of Numerical Algorithms that can Solve the Lasso Problems0
A Survey of Predictive Maintenance Methods: An Analysis of Prognostics via Classification and Regression0
A Survey Of Regression Algorithms And Connections With Deep Learning0
A Survey of Tuning Parameter Selection for High-dimensional Regression0
A Survey on Deep Learning-based Gaze Direction Regression: Searching for the State-of-the-art0
A Survey on Ordinal Regression: Applications, Advances and Prospects0
A Symbolic Regression Method for Dynamic Modeling and Control of Quadrotor UAVs0
Asymmetric kernel in Gaussian Processes for learning target variance0
Asymmetric Random Projections0
Asymptotically efficient adaptive identification under saturated output observation0
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments0
Asymptotic Confidence Regions for High-dimensional Structured Sparsity0
Asymptotic Dynamics of Alternating Minimization for Bilinear Regression0
Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models0
Asymptotic errors for convex penalized linear regression beyond Gaussian matrices0
Asymptotic Inference for Infinitely Imbalanced Logistic Regression0
Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm0
Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79Unverified
2Baseline RegressionR2 Score0.58Unverified
3Mimic / SurrogateR2 Score0.57Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86Unverified
2Baseline RegressionR2 Score0.59Unverified
3Mimic / SurrogateR2 Score0.58Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87Unverified
2Baseline RegressionR2 Score0.78Unverified
3Mimic / SurrogateR2 Score0.78Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98Unverified
2Baseline RegressionR2 Score-0.01Unverified
3Mimic / SurrogateR2 Score-0.01Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93Unverified
2RF-ToxPrintchemical macro-average RMSE0.85Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84Unverified