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regression

Papers

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Showing 7601–7650 of 9424 papers

TitleStatusHype
An Inverse QSAR Method Based on Linear Regression and Integer Programming—0
Anisotropic Random Feature Regression in High Dimensions—0
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression—0
An Iterative Regression Approach for Face Pose Estimation from RGB Images—0
An Iterative, Sketching-based Framework for Ridge Regression—0
An _1,l_2,l_\-Regularization Approach to High-Dimensional Errors-in-variables Models—0
Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts—0
Multi-Kernel Regression with Sparsity Constraint—0
An LMI Framework for Contraction-based Nonlinear Control Design by Derivatives of Gaussian Process Regression—0
ANN-Based Adaptive NMPC for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process—0
An Note on Why Geographically Weighted Regression Overcomes Multidimensional-Kernel-Based Varying-Coefficient Model—0
A Noise-Aware Memory-Attention Network Architecture for Regression-Based Speech Enhancement—0
A Bayesian Lasso based Sparse Learning Model—0
Anomaly Detection by Robust Statistics—0
A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed—0
A non-asymptotic distributional theory of approximate message passing for sparse and robust regression—0
Non-asymptotic model selection in block-diagonal mixture of polynomial experts models—0
A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data—0
A Non-linear Function-on-Function Model for Regression with Time Series Data—0
A Nonlinear Regression Technique for Manifold Valued Data With Applications to Medical Image Analysis—0
An Online Learning Algorithm for Neuromorphic Hardware Implementation—0
An O(n(n)) Algorithm for Projecting Onto the Ordered Weighted _1 Norm Ball—0
A non-parametric conditional factor regression model for high-dimensional input and response—0
An Optimal House Price Prediction Algorithm: XGBoost—0
An Optimal Transport Approach for Network Regression—0
An Ordered Lasso and Sparse Time-Lagged Regression—0
A Note on Coding and Standardization of Categorical Variables in (Sparse) Group Lasso Regression—0
A Note on Estimation Error Bound and Grouping Effect of Transfer Elastic Net—0
A Note On Nonlinear Regression Under L2 Loss—0
A Note on the Asymptotic Properties of the GLS Estimator in Multivariate Regression with Heteroskedastic and Autocorrelated Errors—0
A note relating ridge regression and OLS p-values to preconditioned sparse penalized regression—0
A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression—0
A Novel Approach for Machine Learning-based Load Balancing in High-speed Train System using Nested Cross Validation—0
A Novel Approach in Solving Stochastic Generalized Linear Regression via Nonconvex Programming—0
A Novel Approach to Forecasting Financial Volatility with Gaussian Process Envelopes—0
A Novel Bounding Box Regression Method for Single Object Tracking—0
A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC—0
A Novel Clustering-Based Algorithm for Continuous and Non-invasive Cuff-Less Blood Pressure Estimation—0
A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming—0
A Novel Epidemiological Approach to Geographically Mapping Population Dry Eye Disease in the United States through Google Trends—0
A Novel Explanation Against Linear Neural Networks—0
A Novel Framework for Improving the Breakdown Point of Robust Regression Algorithms—0
A Novel GDP Prediction Technique based on Transfer Learning using CO2 Emission Dataset—0
A Novel Large-scale Ordinal Regression Model—0
A Novel Method For Designing Transferable Soft Sensors And Its Application—0
A Novel Multi-Period and Multilateral Price Index—0
A Novel Plug-and-Play Approach for Adversarially Robust Generalization—0
A Novel Regression Loss for Non-Parametric Uncertainty Optimization—0
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data—0
A Novel Smoothed Loss and Penalty Function for Noncrossing Composite Quantile Estimation via Deep Neural Networks—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