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regression

Papers

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Showing 1901–1950 of 9424 papers

TitleStatusHype
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly DetectionCode0
Convergence of Two-Layer Regression with Nonlinear Units—0
Reinforcement Learning in Financial Markets: A Study on Dynamic Model Weight AssignmentCode0
Implicit ZCA Whitening Effects of Linear Autoencoders for Recommendation—0
Max-affine regression via first-order methods—0
Method for Generating Synthetic Data Combining Chest Radiography Images with Tabular Clinical Information Using Dual Generative Models—0
High-Probability Risk Bounds via Sequential Predictors—0
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between NationsCode1
Locally Adaptive and Differentiable Regression—0
LCE: An Augmented Combination of Bagging and Boosting in PythonCode1
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise RegressionCode1
Optimizing Offensive Gameplan in the National Basketball Association with Machine Learning—0
Quantile Time Series Regression Models Revisited—0
A New Approach to Overcoming Zero Trade in Gravity Models to Avoid Indefinite Values in Linear Logarithmic Equations and Parameter Verification Using Machine Learning—0
Gaussian Process Regression for Maximum Entropy Distribution—0
ViGT: Proposal-free Video Grounding with Learnable Token in Transformer—0
KS-APR: Keyframe Selection for Robust Absolute Pose Regression—0
Interpolation of numerical series by the Fermat-Torricelli point construction method on the example of the numerical series of inflation in the Czech Republic in 2011-2021—0
Threshold Regression in Heterogeneous Panel Data with Interactive Fixed Effects—0
Teacher-Student Architecture for Knowledge Distillation: A Survey—0
Correlating Medi- Claim Service by Deep Learning Neural Networks—0
Iterative Sketching for Secure Coded Regression—0
A Meta-learning based Stacked Regression Approach for Customer Lifetime Value Prediction—0
Robust Ordinal Regression for Subsets Comparisons with Interactions—0
Improving the forecast accuracy of wind power by leveraging multiple hierarchical structureCode0
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