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regression

Papers

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Showing 3276–3300 of 9424 papers

TitleStatusHype
The GA-cal software for the automatic calibration of soil constitutive laws: a tutorial and a user manualCode0
Estimating Regression Predictive Distributions with Sample Networks—0
Differentially Private Image Classification from FeaturesCode0
Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression—0
Efficient List-Decodable Regression using Batches—0
An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 2022—0
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems—0
RegTraffic: A Regression Based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization—0
Accuracy Prediction for NAS Acceleration using Feature Selection and ExtrapolationCode0
Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease PredictionCode0
Constructing Effective Machine Learning Models for the Sciences: A Multidisciplinary Perspective—0
Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance—0
The loss of the property of locality of the kernel in high-dimensional Gaussian process regression on the example of the fitting of molecular potential energy surfaces—0
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods—0
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression—0
Interpretable Scientific Discovery with Symbolic Regression: A ReviewCode0
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective—0
On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation—0
Confounder Balancing for Instrumental Variable Regression with Latent Variable—0
Global quantitative robustness of regression feed-forward neural networks—0
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart CitiesCode0
SFPDML: Securer and Faster Privacy-Preserving Distributed Machine Learning based on MKTFHE—0
On the Role of the Zero Conditional Mean Assumption for Causal Inference in Linear Models—0
Variable selection for nonlinear Cox regression model via deep learning—0
Inadmissibility of the corrected Akaike information criterion—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