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regression

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Showing 901–950 of 9424 papers

TitleStatusHype
Modeling supply chain compliance response strategies based on AI synthetic data with structural path regression: A Simulation Study of EU 2027 Mandatory Labor Regulations—0
A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT ScansCode0
Unemployment Dynamics Forecasting with Machine Learning Regression Models—0
NeuroLoc: Encoding Navigation Cells for 6-DOF Camera Localization—0
Detecting multiple change points in linear models with heteroscedastic errors—0
Model Checks in a Kernel Ridge Regression Framework—0
Thinking Outside the Template with Modular GP-GOMEA—0
Quantum Support Vector Regression for Robust Anomaly Detection—0
Predicting the Price of Gold in the Financial Markets Using Hybrid Models—0
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks—0
On the expressivity of deep Heaviside networks—0
GPRat: Gaussian Process Regression with Asynchronous TasksCode0
Can a Quantum Support Vector Machine algorithm be utilized to identify Key Biomarkers from Multi-Omics data of COVID19 patients?Code0
Learning and Generalization with Mixture Data—0
Transfer Learning Under High-Dimensional Network Convolutional Regression Model—0
Financial Data Analysis with Robust Federated Logistic RegressionCode0
Test Set Sizing for the Ridge Regression—0
Ridge partial correlation screening for ultrahigh-dimensional data—0
Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression—0
Fast approximative estimation of conditional Shapley values when using a linear regression model or a polynomial regression model—0
Post-Transfer Learning Statistical Inference in High-Dimensional Regression—0
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression—0
Local Polynomial Lp-norm Regression—0
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression—0
DAPLSR: Data Augmentation Partial Least Squares Regression Model via Manifold Optimization—0
Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic RegressionCode0
Physics-informed features in supervised machine learning—0
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning—0
How Private is Your Attention? Bridging Privacy with In-Context Learning—0
Distributed Time-Varying Gaussian Regression via Kalman FilteringCode0
Data Selection for ERMs—0
Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models—0
Direct Advantage Regression: Aligning LLMs with Online AI Reward—0
Transforming Hyperspectral Images Into Chemical Maps: An End-to-End Deep Learning Approach—0
Local distribution-based adaptive oversampling for imbalanced regression—0
How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings—0
On the Convergence of Irregular Sampling in Reproducing Kernel Hilbert Spaces—0
Kernel Ridge Regression for Efficient Learning of High-Capacity Hopfield Networks—0
How Much Weak Overlap Can Doubly Robust T-Statistics Handle?—0
Bayesian Density-Density Regression with Application to Cell-Cell Communications—0
Approximation Bounds for Transformer Networks with Application to Regression—0
On relative universality, regression operator, and conditional independence—0
Differentially Private Geodesic and Linear Regression—0
Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations—0
Correcting Domain Shifts in Electric Motor Vibration Data for Unseen Operating Conditions—0
Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression under Indirect Supervision—0
Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks—0
In almost all shallow analytic neural network optimization landscapes, efficient minimizers have strongly convex neighborhoods—0
A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression—0
CTSR: Cartesian tensor-based sparse regression for data-driven discovery of high-dimensional invariant governing equations—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