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regression

Papers

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Showing 6826–6850 of 9424 papers

TitleStatusHype
UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets—0
UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy Prediction—0
UZH@SMM4H: System Descriptions—0
Validating Gaussian Process Models with Simulation-Based Calibration—0
Valid auto-models for spatially autocorrelated occupancy and abundance data—0
Valuing insurance against small probability risks: A meta-analysis—0
Vanilla Classifiers for Distinguishing between Similar Languages—0
Variable Clustering via Distributionally Robust Nodewise Regression—0
Variable fusion for Bayesian linear regression via spike-and-slab priors—0
Variable Grouping Based Bayesian Additive Regression Tree—0
Variable selection for Gaussian process regression through a sparse projection—0
Variable selection for nonlinear Cox regression model via deep learning—0
Variable Selection for Nonparametric Learning with Power Series Kernels—0
Variable Selection in Convex Piecewise Linear Regression—0
Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age—0
Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach—0
Variable Selection with Random Survival Forest and Bayesian Additive Regression Tree for Survival Data—0
Variable subset selection via GA and information complexity in mixtures of Poisson and negative binomial regression models—0
Variance-aware robust reinforcement learning with linear function approximation under heavy-tailed rewards—0
Finite Sample Analysis Of Dynamic Regression Parameter Learning—0
Variance function estimation in regression model via aggregation procedures—0
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold—0
Variational Bayes for high-dimensional linear regression with sparse priors—0
Variational Boosted Soft Trees—0
Variational bridge constructs for approximate Gaussian process 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