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regression

Papers

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Showing 4026–4050 of 9424 papers

TitleStatusHype
End-to-End Dense Video Grounding via Parallel Regression—0
Hierarchical Scene Coordinate Classification and Regression for Visual Localization—0
Hierarchical Kinematic Human Mesh Recovery—0
End-to-end deep learning for directly estimating grape yield from ground-based imagery—0
Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results—0
IV Regressions without Exclusion Restrictions—0
bqror: An R package for Bayesian Quantile Regression in Ordinal Models—0
Hierarchical Routing Mixture of Experts—0
An Experiment on Feature Selection using Logistic Regression—0
Encrypted accelerated least squares regression—0
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws—0
Encompassing Tests for Nonparametric Regressions—0
Encog: Library of Interchangeable Machine Learning Models for Java and C#—0
Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text—0
Advantage Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning—0
Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models—0
High-Dimensional Differentially-Private EM Algorithm: Methods and Near-Optimal Statistical Guarantees—0
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes—0
High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing—0
High Dimensional Linear Regression using Lattice Basis Reduction—0
High-dimensional logistic regression with missing data: Imputation, regularization, and universality—0
Bounds for Approximate Regret-Matching Algorithms—0
High-dimensional Measurement Error Models for Lipschitz Loss—0
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework—0
EmpNa at WASSA 2021: A Lightweight Model for the Prediction of Empathy, Distress and Emotions from Reactions to News Stories—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