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regression

Papers

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Showing 4226–4250 of 9424 papers

TitleStatusHype
Asymptotic Optimism of Random-Design Linear and Kernel Regression Models—0
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation—0
Data-driven Small-signal Modeling for Converter-based Power Systems—0
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models—0
Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model—0
Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm—0
Data Driven Prediction of Battery Cycle Life Before Capacity Degradation—0
ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English Tweets—0
Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space—0
Improving Naive Bayes for Regression with Optimised Artificial Surrogate Data—0
Improving One-Shot Learning through Fusing Side Information—0
Data-Driven Prediction Model of Components Shift during Reflow Process in Surface Mount Technology—0
Data-driven polynomial chaos expansion for machine learning regression—0
Asymptotic Inference for Infinitely Imbalanced Logistic Regression—0
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning—0
Data-driven PDE discovery with evolutionary approach—0
Asymptotic errors for convex penalized linear regression beyond Gaussian matrices—0
A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts—0
Data-driven Optimal Cost Selection for Distributionally Robust Optimization—0
Data-Driven Constitutive Relation Reveals Scaling Law for Hydrodynamic Transport Coefficients—0
Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models—0
Data-driven Localization and Estimation of Disturbance in the Interconnected Power System—0
Data-driven Inverter-based Volt/VAr Control for Partially Observable Distribution Networks—0
Asymptotic Dynamics of Alternating Minimization for Bilinear Regression—0
Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection—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