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regression

Papers

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Showing 1301–1350 of 9424 papers

TitleStatusHype
A New Perspective on Boosting in Linear Regression via Subgradient Optimization and Relatives—0
Advancing Counterfactual Inference through Nonlinear Quantile Regression—0
Deep Fréchet Regression—0
Bradley-Terry and Multi-Objective Reward Modeling Are Complementary—0
Bregman Distance to L1 Regularized Logistic Regression—0
A New Monte Carlo Based Algorithm for the Gaussian Process Classification Problem—0
A New Look to Three-Factor Fama-French Regression Model using Sample Innovations—0
Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory—0
Advanced Variations of Two-Dimensional Principal Component Analysis for Face Recognition—0
A new LDA formulation with covariates—0
Non-invasive Liver Fibrosis Screening on CT Images using Radiomics—0
Boundary Regression for Leitmotif Detection in Music Audio—0
A new Edge Detector Based on Parametric Surface Model: Regression Surface Descriptor—0
A New Deterministic Technique for Symbolic Regression—0
Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes—0
A New Covariance Estimator for Sufficient Dimension Reduction in High-Dimensional and Undersized Sample Problems—0
Advanced Models for Hourly Marginal CO2 Emission Factor Estimation: A Synergy between Fundamental and Statistical Approaches—0
A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees—0
A Bound on the Maximal Marginal Degrees of Freedom—0
Bounding Regression Errors in Data-driven Power Grid Steady-state Models—0
A new Bayesian ensemble of trees classifier for identifying multi-class labels in satellite images—0
Advanced Displacement Magnitude Prediction in Multi-Material Architected Lattice Structure Beams Using Physics Informed Neural Network Architecture—0
A new asymmetric ε-insensitive pinball loss function based support vector quantile regression model—0
A New Approach to Overcoming Zero Trade in Gravity Models to Avoid Indefinite Values in Linear Logarithmic Equations and Parameter Verification Using Machine Learning—0
Advanced Deep Regression Models for Forecasting Time Series Oil Production—0
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression—0
Component-wise Adaptive Trimming For Robust Mixture Regression—0
A New Algorithm for Tessellated Kernel Learning—0
Adults in the room? The auditor and dividends in small firms: Evidence from a natural experiment—0
A new ADMM algorithm for the Euclidean median and its application to robust patch regression—0
A new adjusted maximum likelihood method for the Fay–Herriot small area model—0
A Comprehensive Analysis on Machine Learning based Methods for Lung Cancer Level Classification—0
Integrated Data Analysis of Plasma Electron Density Profile Tomography for HL-3 with Gaussian Process Regression—0
Boundary Distribution Estimation for Precise Object Detection—0
Bounds for Approximate Regret-Matching Algorithms—0
An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas—0
A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems—0
An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers—0
An Evaluation of the EEG alpha-to-theta and theta-to-alpha band Ratios as Indexes of Mental Workload—0
Optimal Rates and Saturation for Noiseless Kernel Ridge Regression—0
A Neural Network Anomaly Detector Using the Random Cluster Model—0
A Dual Branch Network for Emotional Reaction Intensity Estimation—0
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment—0
A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia—0
A Composite T60 Regression and Classification Approach for Speech Dereverberation—0
A Blockwise Descent Algorithm for Group-penalized Multiresponse and Multinomial Regression—0
BOTDA Fiber Sensor System Based on FPGA Accelerated Support Vector Regression—0
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems—0
An Epsilon Hierarchical Fuzzy Twin Support Vector Regression—0
Adjustment with Many Regressors Under Covariate-Adaptive Randomizations—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