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regression

Papers

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Showing 7526–7550 of 9424 papers

TitleStatusHype
Anderson acceleration of coordinate descent—0
A Nearest Neighbor Characterization of Lebesgue Points in Metric Measure Spaces—0
A Nearly-Optimal Bound for Fast Regression with _ Guarantee—0
An Efficient Algorithm for Bayesian Nearest Neighbours—0
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis—0
Leave-one-out least squares Monte Carlo algorithm for pricing Bermudan options—0
An Efficient Approach to Regression Problems with Tensor Neural Networks—0
An Efficient Augmented Lagrangian Based Method for Constrained Lasso—0
An Efficient Data Analysis Method for Big Data using Multiple-Model Linear Regression—0
An Efficient Implementation for Spatial-Temporal Gaussian Process Regression and Its Applications—0
An Efficient Method for Face Quality Assessment on the Edge—0
An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation—0
An efficient model-free estimation of multiclass conditional probability—0
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing—0
Theoretical and Experimental Analysis on the Generalizability of Distribution Regression Network—0
An Efficient Pruning Algorithm for Robust Isotonic Regression—0
An Efficient Pseudo-likelihood Method for Sparse Binary Pairwise Markov Network Estimation—0
An elementary analysis of ridge regression with random design—0
An Empirical Analysis of Constrained Support Vector Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power—0
An Empirical Analysis of Edit Importance between Document Versions—0
An Empirical Study of ADMM for Nonconvex Problems—0
Asymptotic Properties of Endogeneity Corrections Using Nonlinear Transformations—0
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction—0
An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 2022—0
An Epsilon Hierarchical Fuzzy Twin Support Vector 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