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regression

Papers

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Showing 1701–1725 of 9424 papers

TitleStatusHype
A Hybrid Deep Learning Classification of Perimetric Glaucoma Using Peripapillary Nerve Fiber Layer Reflectance and Other OCT Parameters from Three Anatomy Regions—0
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems—0
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming—0
Relaxed Quantile Regression: Prediction Intervals for Asymmetric NoiseCode0
ConPCO: Preserving Phoneme Characteristics for Automatic Pronunciation Assessment Leveraging Contrastive Ordinal Regularization—0
Normalizing Flows for Conformal RegressionCode0
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation—0
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning—0
Coresets for Multiple _p Regression—0
Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms—0
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers—0
Distributional Refinement Network: Distributional Forecasting via Deep LearningCode0
Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel LearningCode0
Machine learning-based prediction of fish acute mortality: implementation, interpretation, and regulatory relevance—0
Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple Regression—0
Cluster-robust jackknife and bootstrap inference for logistic regression models—0
Logistic Variational Bayes RevisitedCode0
Robust Visual Tracking via Iterative Gradient Descent and Threshold Selection—0
Causal Contrastive Learning for Counterfactual Regression Over Time—0
Stein Random Feature RegressionCode0
Turnstile _p leverage score sampling with applicationsCode0
Principal-Agent Multitasking: the Uniformity of Optimal Contracts and its Efficient Learning via Instrumental Regression—0
Shape Constraints in Symbolic Regression using Penalized Least Squares—0
Nonparametric regression on random geometric graphs sampled from submanifolds—0
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing—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