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regression

Papers

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Showing 701–750 of 9424 papers

TitleStatusHype
Interval Estimation of Coefficients in Penalized Regression Models of Insurance DataCode0
Evaluating Deep Regression Models for WSI-Based Gene-Expression PredictionCode4
GPTreeO: An R package for continual regression with dividing local Gaussian processes—0
High-dimensional logistic regression with missing data: Imputation, regularization, and universality—0
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization—0
New Tests of Equal Forecast Accuracy for Factor-Augmented Regressions with Weaker Loadings—0
Shuffled Linear Regression via Spectral Matching—0
Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysis—0
An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas—0
DataDRILL: Formation Pressure Prediction and Kick Detection for Drilling Rigs—0
Generating peak-aware pseudo-measurements for low-voltage feeders using metadata of distribution system operators—0
Automatic debiasing of neural networks via moment-constrained learningCode0
Boosting SISSO Performance on Small Sample Datasets by Using Random Forests Prescreening for Complex Feature Selection—0
RMLR: Extending Multinomial Logistic Regression into General GeometriesCode1
A Characterization of List Regression—0
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media—0
Classification and regression of trajectories rendered as images via 2D Convolutional Neural Networks—0
Local Prediction-Powered InferenceCode0
Adjusting Regression Models for Conditional Uncertainty CalibrationCode0
Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awared Chicken Woody Breast Classification and Hardness Regression—0
Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract)—0
Random Forest Regression Feature Importance for Climate Impact Pathway Detection—0
Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution—0
Statistical tuning of artificial neural network—0
Explaining word embeddings with perfect fidelity: Case study in research impact predictionCode0
To Explore the Potential Inhibitors against Multitarget Proteins of COVID 19 using In Silico Study—0
GSplatLoc: Grounding Keypoint Descriptors into 3D Gaussian Splatting for Improved Visual LocalizationCode2
M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology ImagesCode1
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient—0
Causal Inference with Double/Debiased Machine Learning for Evaluating the Health Effects of Multiple Mismeasured Pollutants—0
Determinants of Workplace Flextime Flexibility: An Empirical Analysis—0
Scoring rule nets: beyond mean target prediction in multivariate regression—0
Mining Causality: AI-Assisted Search for Instrumental Variables—0
A simple but powerful tail index regression—0
Parameters on the boundary in predictive regression—0
Calibrated Multivariate Regression with Localized PIT Mappings—0
Performance of Cross-Validated Targeted Maximum Likelihood EstimationCode0
LLMs & XAI for Water Sustainability: Seasonal Water Quality Prediction with LIME Explainable AI and a RAG-based Chatbot for Insights—0
Improve Machine Learning carbon footprint using Parquet dataset format and Mixed Precision training for regression models -- Part IICode0
GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based methodCode0
A Simple and Adaptive Confidence Interval when Nuisance Parameters Satisfy an Inequality—0
Econometric Inference for High Dimensional Predictive RegressionsCode1
Quantile Regression for Distributional Reward Models in RLHFCode0
Adaptive Segmentation-Based Initialization for Steered Mixture of Experts Image Regression—0
The Optimality of (Accelerated) SGD for High-Dimensional Quadratic Optimization—0
Symbolic Regression with a Learned Concept LibraryCode1
Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regression—0
Privacy-preserving federated prediction of pain intensity change based on multi-center survey data—0
Review of Recent Advances in Gaussian Process Regression Methods—0
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models—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