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regression

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Showing 4076–4100 of 9424 papers

TitleStatusHype
Simple Calibration via Geodesic KernelsCode0
Machine learning based modelling and optimization in hard turning of AISI D6 steel with newly developed AlTiSiN coated carbide tool—0
A least squares support vector regression for anisotropic diffusion filtering—0
Geometry- and Accuracy-Preserving Random Forest ProximitiesCode0
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study—0
Towards Robust Deep Active Learning for Scientific Computing—0
Low-rank features based double transformation matrices learning for image classification—0
Pressure Eye: In-bed Contact Pressure Estimation via Contact-less ImagingCode0
The Implicit Bias of Benign Overfitting—0
Toward Data-Driven STAP Radar—0
Multi-objective Semi-supervised Clustering for Finding Predictive Clusters—0
FiNCAT: Financial Numeral Claim Analysis ToolCode0
Privacy-Preserving Logistic Regression Training with A Faster Gradient VariantCode0
Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling—0
An Explainable Artificial Intelligence Framework for Quality-Aware IoE Service Delivery—0
On Uniform Boundedness Properties of SGD and its Momentum Variants—0
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames—0
Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound ImagesCode0
Analysis of various climate change parameters in India using machine learning—0
Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression—0
Adaptive Outlier Detection for Power MOSFETs Based on Gaussian Process Regression—0
PREVIS -- A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control—0
Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros—0
Approximation bounds for norm constrained neural networks with applications to regression and GANs—0
Dynamic optimization of volatile fatty acids to enrich biohydrogen production using a deep learning neural network—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