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regression

Papers

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Showing 3701–3725 of 9424 papers

TitleStatusHype
A Machine Learning Data Fusion Model for Soil Moisture Retrieval—0
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models—0
LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks—0
Beyond Ridge Regression for Distribution-Free Data—0
MultiEarth 2022 -- The Champion Solution for the Matrix Completion Challenge via Multimodal Regression and Generation—0
Robust Information Criterion for Model Selection in Sparse High-Dimensional Linear Regression Models—0
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their InterplayCode0
Active Nearest Neighbor Regression Through Delaunay Refinement—0
Functional Output Regression with Infimal Convolution: Exploring the Huber and ε-insensitive LossesCode0
Large-width asymptotics for ReLU neural networks with α-Stable initializations—0
Differentially Private Multi-Party Data Release for Linear Regression—0
On the well-spread property and its relation to linear regression—0
AI-Based Channel Prediction in D2D Links: An Empirical Validation—0
Global Convergence of Federated Learning for Mixed Regression—0
Theory of Machine Learning with Limited Data—0
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates—0
Detection of magnetohydrodynamic waves by using machine learning—0
Noise Covariance Estimation in Multi-Task High-dimensional Linear Models—0
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images—0
FETILDA: An Effective Framework For Fin-tuned Embeddings For Long Financial Text DocumentsCode0
ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity AssessmentCode0
Downlink Power Allocation in Massive MIMO via Deep Learning: Adversarial Attacks and Training—0
Reconstructing vehicles from orthographic drawings using deep neural networks—0
MBGDT:Robust Mini-Batch Gradient DescentCode0
Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR ImagesCode0
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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