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regression

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Showing 3101–3150 of 9424 papers

TitleStatusHype
Analysis of Biomass Sustainability Indicators from a Machine Learning Perspective—0
Deep neural operators can serve as accurate surrogates for shape optimization: A case study for airfoils—0
Sketched Ridgeless Linear Regression: The Role of DownsamplingCode0
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression—0
Bayes-optimal Learning of Deep Random Networks of Extensive-width—0
Learning Functional TransductionCode0
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression—0
A Nearly-Optimal Bound for Fast Regression with _ Guarantee—0
Regression Adjustment, Cross-Fitting, and Randomized Experiments with Many Controls—0
Dictionary-based Manifold LearningCode0
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond—0
An Analysis of Classification Approaches for Hit Song Prediction using Engineered Metadata Features with Lyrics and Audio Features—0
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data DistillationCode0
Differentially Private Distributed Bayesian Linear Regression with MCMCCode0
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination—0
Near Optimal Private and Robust Linear Regression—0
Understanding Self-Distillation in the Presence of Label Noise—0
Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery—0
A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins—0
Development of Machine learning algorithms to identify the Cobb angle in adolescents with idiopathic scoliosis based on lumbosacral joint efforts during gait (Case study)—0
Implicit Regularization for Group SparsityCode0
Syrupy Mouthfeel and Hints of Chocolate -- Predicting Coffee Review Scores using Text Based SentimentCode0
Controlling Steering with Energy-Based Models—0
Incorporating Background Knowledge in Symbolic Regression using a Computer Algebra System—0
A Simple Algorithm For Scaling Up Kernel MethodsCode0
Returning The Favour: When Regression Benefits From Probabilistic Causal KnowledgeCode0
Adults in the room? The auditor and dividends in small firms: Evidence from a natural experiment—0
A Benchmark Study by using various Machine Learning Models for Predicting Covid-19 trends—0
Gaussian process regression and conditional Karhunen-Loéve models for data assimilation in inverse problemsCode0
Bias-Compensated Integral Regression for Human Pose Estimation—0
Backward Compatibility During Data Updates by Weight Interpolation—0
Graph Neural Tangent Kernel: Convergence on Large Graphs—0
Quantification of Damage Using Indirect Structural Health Monitoring—0
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression—0
Flexible conditional density estimation for time series—0
Ordinal Regression for Difficulty Estimation of StepMania Levels—0
Online Kernel Sliced Inverse Regression—0
Victoria Amazonica Optimization (VAO): An Algorithm Inspired by the Giant Water Lily PlantCode0
Soft Sensing Regression Model: from Sensor to Wafer Metrology Forecasting—0
An LMI Framework for Contraction-based Nonlinear Control Design by Derivatives of Gaussian Process Regression—0
Position Regression for Unsupervised Anomaly DetectionCode0
Robust Gaussian Process Regression with Huber Likelihood—0
Ultrasound Plane Pose Regression: Assessing Generalized Pose Coordinates in the Fetal Brain—0
Unconditional Quantile Partial Effects via Conditional Quantile Regression—0
An Analysis of Loss Functions for Binary Classification and Regression—0
Label Inference Attack against Split Learning under Regression SettingCode0
Revisiting mass-radius relationships for exoplanet populations: a machine learning insight—0
Probabilistic Traffic Forecasting with Dynamic RegressionCode0
Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) dataCode0
Case-Base Neural Networks: survival analysis with time-varying, higher-order interactionsCode0
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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