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regression

Papers

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Showing 951–1000 of 9424 papers

TitleStatusHype
Active Learning of Linear Embeddings for Gaussian Processes—0
Are screening methods useful in feature selection? An empirical study—0
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction—0
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs—0
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs—0
A Generic Regression Framework for Pose Recognition on Color and Depth Images—0
A review of predictive uncertainty estimation with machine learning—0
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators—0
Augmented Regression Models using Neurochaos Learning—0
A Review on Symbolic Regression in Power Systems: Methods, Applications, and Future Directions—0
A revised comparison between FF five-factor model and three-factor model,based on China's A-share market—0
Argumentative Explanations for Pattern-Based Text Classifiers—0
A Riemannian gossip approach to subspace learning on Grassmann manifold—0
A rigorous introduction to linear models—0
A Risk Based approach for the Solvency Capital requirement for Health Plans—0
A Risk Comparison of Ordinary Least Squares vs Ridge Regression—0
A risk measurement approach from risk-averse stochastic optimization of score functions—0
A Risk Minimization Principle for a Class of Parzen Estimators—0
A Tutorial on Asymptotic Properties for Biostatisticians with Applications to COVID-19 Data—0
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery—0
A Robust Learning Algorithm for Regression Models Using Distributionally Robust Optimization under the Wasserstein Metric—0
A robust low data solution: dimension prediction of semiconductor nanorods—0
A Robust Machine Learning Approach for Path Loss Prediction in 5G Networks with Nested Cross Validation—0
A Robust Regression Approach for Background/Foreground Segmentation—0
A Robust Regression Approach for Robot Model Learning—0
A Robust Statistical Analysis of the Role of Hydropower on the System Electricity Price and Price Volatility—0
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds—0
A Role for Prior Knowledge in Statistical Classification of the Transition from MCI to Alzheimer's Disease—0
A unified spectra analysis workflow for the assessment of microbial contamination of ready to eat green salads: Comparative study and application of non-invasive sensors—0
ARST: Auto-Regressive Surgical Transformer for Phase Recognition from Laparoscopic Videos—0
Artificial Intelligence-Assisted Optimization and Multiphase Analysis of Polygon PEM Fuel Cells—0
Artificial Lateral Line Based Relative State Estimation for Two Adjacent Robotic Fish—0
Approximation Properties of Variational Bayes for Vector Autoregressions—0
Active Online Domain Adaptation—0
A Safe Screening Rule for Sparse Logistic Regression—0
Agnostic Proper Learning of Halfspaces under Gaussian Marginals—0
Agnostic Sample Compression Schemes for Regression—0
Active Output Selection Strategies for Multiple Learning Regression Models—0
Approximation of RKHS Functionals by Neural Networks—0
A Semiparametric Gaussian Copula Regression Model for Predicting Financial Risks from Earnings Calls—0
A Gaussian Process Regression Model for Distribution Inputs—0
Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions—0
Gram-Gauss-Newton Method: Learning Overparameterized Neural Networks for Regression Problems—0
A GPU-Accelerated Bi-linear ADMM Algorithm for Distributed Sparse Machine Learning—0
A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound—0
A Simple and Adaptive Confidence Interval when Nuisance Parameters Satisfy an Inequality—0
A simple but powerful tail index regression—0
A simple DNN regression for the chemical composition in essential oil—0
A Simplified Analysis of SGD for Linear Regression with Weight Averaging—0
Approximation Bounds for Transformer Networks with Application to Regression—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