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regression

Papers

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Showing 5051–5100 of 9424 papers

TitleStatusHype
Prediction of stent under-expansion in calcified coronary arteries using machine-learning on intravascular optical coherence tomography—0
Prediction of treatment outcome for autism from structure of the brain based on sure independence screening—0
Prediction performance after learning in Gaussian process regression—0
Prediction Rule Reshaping—0
Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models—0
Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control—0
Simple Imputation Rules for Prediction with Missing Data: Contrasting Theoretical Guarantees with Empirical Performance—0
Prediction with Missing Data via Bayesian Additive Regression Trees—0
Predictive Approximate Bayesian Computation via Saddle Points—0
Predictive Density Combination Using a Tree-Based Synthesis Function—0
Predictive Image Regression for Longitudinal Studies with Missing Data—0
Predictive Interval Models for Non-parametric Regression—0
Predictive Liability Models and Visualizations of High Dimensional Retail Employee Data—0
Predictive Model Development to Identify Failed Healing in Patients after Non-Union Fracture Surgery—0
Predictive Modeling of Shading Effects on Photovoltaic Panels Using Regression Analysis—0
Predictive Modelling of Bone Age through Classification and Regression of Bone Shapes—0
Predictive modelling of training loads and injury in Australian football—0
Predictive Quantile Regression with High-Dimensional Predictors: The Variable Screening Approach—0
Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach—0
Predictive Uncertainty in Deep Object Detectors: Estimation and Evaluation—0
Predict the model of a camera—0
Preprocessing and Modeling of Radial Fan Data for Health State Prediction—0
Pre-processing with Orthogonal Decompositions for High-dimensional Explanatory Variables—0
Preserving gauge invariance in neural networks—0
Preserving Phonemic Distinctions for Ordinal Regression: A Novel Loss Function for Automatic Pronunciation Assessment—0
Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract)—0
PREVIS -- A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control—0
PRHLT: Combination of Deep Autoencoders with Classification and Regression Techniques for SemEval-2015 Task 11—0
Price Suggestion for Online Second-hand Items with Texts and Images—0
Pricing Bermudan options using regression trees/random forests—0
Unveiling Nonlinear Dynamics in Catastrophe Bond Pricing: A Machine Learning Perspective—0
Pricing path-dependent Bermudan options using Wiener chaos expansion: an embarrassingly parallel approach—0
Primal-Dual Active-Set Methods for Isotonic Regression and Trend Filtering—0
Primal-dual regression approach for Markov decision processes with general state and action space—0
Primal path algorithm for compositional data analysis—0
PRIMO: Private Regression in Multiple Outcomes—0
Principal-Agent Multitasking: the Uniformity of Optimal Contracts and its Efficient Learning via Instrumental Regression—0
Principal component-guided sparse regression—0
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG—0
Principal Component Projection Without Principal Component Analysis—0
Principal Model Analysis Based on Partial Least Squares—0
Printed Arabic Text Recognition using Linear and Nonlinear Regression—0
PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models—0
Privacy Amplification Through Synthetic Data: Insights from Linear Regression—0
Privacy-Aware Data Acquisition under Data Similarity in Regression Markets—0
Privacy-aware Gaussian Process Regression—0
Privacy-Preserving 3-Layer Neural Network Training—0
Privacy-preserving federated prediction of pain intensity change based on multi-center survey data—0
Privacy-Preserving Gaussian Process Regression -- A Modular Approach to the Application of Homomorphic Encryption—0
Privacy-preserving logistic regression—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