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regression

Papers

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Showing 5151–5175 of 9424 papers

TitleStatusHype
Probing Multilingual BERT for Genetic and Typological Signals—0
Support estimation in high-dimensional heteroscedastic mean regression—0
Graph Enhanced High Dimensional Kernel Regression—0
The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals—0
Kernel Two-Dimensional Ridge Regression for Subspace Clustering—0
Deep tree-ensembles for multi-output prediction—0
Generating Unobserved Alternatives—0
Ridge regression with adaptive additive rectangles and other piecewise functional templates—0
c-lasso -- a Python package for constrained sparse and robust regression and classificationCode1
Coresets for Regressions with Panel DataCode0
Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information—0
A better method to enforce monotonic constraints in regression and classification trees—0
TMUOU Submission for WMT20 Quality Estimation Shared Task—0
Guessing the Age of Acquisition of Italian Lemmas through Linear Regression—0
Team MLU@CL-SciSumm20: Methods for Computational Linguistics Scientific Citation Linkage—0
Enhancing Automated Essay Scoring Performance via Fine-tuning Pre-trained Language Models with Combination of Regression and Ranking—0
Mixed--frequency quantile regressions to forecast Value--at--Risk and Expected Shortfall—0
Differentially Private Bayesian Inference for Generalized Linear Models—0
A Distribution-Dependent Analysis of Meta-Learning—0
On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data—0
DL-Reg: A Deep Learning Regularization Technique using Linear RegressionCode0
Strongly universally consistent nonparametric regression and classification with privatised data—0
Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural NetworksCode0
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation—0
Measure Inducing Classification and Regression Trees for Functional Data—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