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regression

Papers

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Showing 6126–6150 of 9424 papers

TitleStatusHype
Statistical Tests and Confidential Intervals as Thresholds for Quantum Neural Networks—0
A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate Regression in Brain Connectivity AnalysisCode0
Blocked Clusterwise Regression—0
An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions—0
Bayesian Reasoning with Trained Neural Networks—0
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions—0
Privacy-Preserving Gaussian Process Regression -- A Modular Approach to the Application of Homomorphic Encryption—0
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators—0
Optimization of Passive Chip Components Placement with Self-Alignment Effect for Advanced Surface Mounting Technology—0
Data-Driven Prediction Model of Components Shift during Reflow Process in Surface Mount Technology—0
Predicting Regression Probability Distributions with Imperfect Data Through Optimal Transformations—0
Crowd Scene Analysis by Output Encoding—0
An optimized pipeline for functional connectivity analysis in the rat brainCode0
Machine Learning for a Music Glove Instrument—0
Multi-Task Deep Learning: Simultaneous Segmentation and Survival Analysis via Cox Proportional Hazards Regression—0
Direct estimation of fetal head circumference from ultrasound images based on regression CNN—0
Imputation for High-Dimensional Linear Regression—0
Explainable Machine Learning Control -- robust control and stability analysis—0
The Reciprocal Bayesian LASSOCode0
Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target ShiftCode0
Learning functions varying along a central subspace—0
A Multi-Scale Tensor Network Architecture for Classification and Regression—0
Lasso for hierarchical polynomial models—0
Improved motion correction for functional MRI using an omnibus regression model—0
Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified—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