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regression

Papers

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Showing 1926–1950 of 9424 papers

TitleStatusHype
Gradient Coding with Iterative Block Leverage Score Sampling—0
Structured Low-Rank Tensors for Generalized Linear Models—0
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory—0
OBESEYE: Interpretable Diet Recommender for Obesity Management using Machine Learning and Explainable AI—0
Semi-supervised Contrastive Regression for Estimation of Eye Gaze—0
Fluid Viscosity Prediction Leveraging Computer Vision and Robot InteractionCode0
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data LandscapesCode0
Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods—0
Statistical Estimation Under Distribution Shift: Wasserstein Perturbations and Minimax TheoryCode0
Online covariance estimation for stochastic gradient descent under Markovian sampling—0
ETran: Energy-Based Transferability EstimationCode0
Telematics Combined Actuarial Neural Networks for Cross-Sectional and Longitudinal Claim Count Data—0
Distribution-Free Inference for the Regression Function of Binary Classification—0
Limit Theory under Network Dependence and Nonstationarity—0
Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning—0
Estimation of motion blur kernel parameters using regression convolutional neural networksCode0
Through their eyes: multi-subject Brain Decoding with simple alignment techniques—0
Mapping Computer Science Research: Trends, Influences, and Predictions—0
Beam Detection Based on Machine Learning Algorithms—0
Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms—0
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel—0
ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG DataCode1
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation—0
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic RegressionCode0
Explainable Equivariant Neural Networks for Particle Physics: PELICANCode1
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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