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regression

Papers

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Showing 4251–4300 of 9424 papers

TitleStatusHype
A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification—0
Data-driven HVAC Control Using Symbolic Regression: Design and Implementation—0
Data-driven formulation of natural laws by recursive-LASSO-based symbolic regression—0
Asymptotic Confidence Regions for High-dimensional Structured Sparsity—0
Data-driven forecasting of solar irradiance—0
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments—0
A Knowledge Transfer Framework for Differentially Private Sparse Learning—0
Incremental Variational Sparse Gaussian Process Regression—0
Data-driven calibration of linear estimators with minimal penalties—0
DataDRILL: Formation Pressure Prediction and Kick Detection for Drilling Rigs—0
Accurate Face Detection for High Performance—0
Data Deletion for Linear Regression with Noisy SGD—0
A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images—0
Incremental Learning-to-Learn with Statistical Guarantees—0
Incremental Local Gaussian Regression—0
Incremento del precio de los combustibles y su incidencia en los productos de la canasta basica del canton el triunfo, provincia del guayas—0
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference—0
Inertial Regularization and Selection (IRS): Sequential Regression in High-Dimension and Sparsity—0
Asymptotically efficient adaptive identification under saturated output observation—0
Data Augmentation for Deep Learning Regression Tasks by Machine Learning Models—0
A Kernel Perspective on Distillation-based Collaborative Learning—0
Implicit ZCA Whitening Effects of Linear Autoencoders for Recommendation—0
Out-of-distribution detection for regression tasks: parameter versus predictor entropy—0
How Data Augmentation affects Optimization for Linear Regression—0
Data augmentation as stochastic optimization—0
High-Dimensional Linear Regression via Implicit Regularization—0
Asymmetric Random Projections—0
Incorporating domain knowledge into neural-guided search via in situ priors and constraints—0
Incorporating LLM Priors into Tabular Learners—0
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression—0
Data-aided Sensing for Gaussian Process Regression in IoT Systems—0
Implicit Regression in Subspace for High-Sensitivity CEST Imaging—0
Importance Weighting Correction of Regularized Least-Squares for Covariate and Target Shifts—0
Important Molecular Descriptors Selection Using Self Tuned Reweighted Sampling Method for Prediction of Antituberculosis Activity—0
Data Aggregation for Reducing Training Data in Symbolic Regression—0
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model—0
Improved Calibration of Near-Infrared Spectra by Using Ensembles of Neural Network Models—0
Improved Clustering with Augmented k-means—0
Improved conformalized quantile regression—0
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning—0
Improved Convex Decomposition with Ensembling and Boolean Primitives—0
Asymmetric kernel in Gaussian Processes for learning target variance—0
Improved Feature Generating Framework for Transductive Zero-shot Learning—0
Improved Generalization Bounds for Adversarially Robust Learning—0
Improved Generalization of Heading Direction Estimation for Aerial Filming Using Semi-supervised Regression—0
Data-driven computing in elasticity via kernel regression—0
Improved identification of breakpoints in piecewise regression and its applications—0
Improved Indoor Localization with Machine Learning Techniques for IoT applications—0
Improved Information Gain Estimates for Decision Tree Induction—0
Incorporating Background Knowledge in Symbolic Regression using a Computer Algebra System—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