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regression

Papers

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Showing 351–400 of 9424 papers

TitleStatusHype
Theoretical and Practical Analysis of Fréchet Regression via Comparison Geometry—0
Error Distribution Smoothing:Advancing Low-Dimensional Imbalanced Regression—0
Hybrid Fingerprint-based Positioning in Cell-Free Massive MIMO Systems—0
Improving Power Plant CO2 Emission Estimation with Deep Learning and Satellite/Simulated DataCode0
Gaussian processes for dynamics learning in model predictive control—0
GauCho: Gaussian Distributions with Cholesky Decomposition for Oriented Object Detection—0
Regression and Forecasting of U.S. Stock Returns Based on LSTM—0
VKFPos: A Learning-Based Monocular Positioning with Variational Bayesian Extended Kalman Filter IntegrationCode0
Meta-learning of shared linear representations beyond well-specified linear regression—0
Optimal Transport-based Conformal Prediction—0
Decoding-based RegressionCode3
Transformer Semantic Genetic Programming for Symbolic Regression—0
HKAN: Hierarchical Kolmogorov-Arnold Network without Backpropagation—0
MolGraph-xLSTM: A graph-based dual-level xLSTM framework with multi-head mixture-of-experts for enhanced molecular representation and interpretability—0
A Comprehensive Analysis on Machine Learning based Methods for Lung Cancer Level Classification—0
Contextual Online Decision Making with Infinite-Dimensional Functional Regression—0
Histogram approaches for imbalanced data streams regression—0
PulmoFusion: Advancing Pulmonary Health with Efficient Multi-Modal FusionCode0
rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression ModelsCode0
Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models—0
nabqr: Python package for improving probabilistic forecasts—0
Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression—0
Dynamics of Transient Structure in In-Context Linear Regression Transformers—0
Improving Genetic Programming for Symbolic Regression with Equality GraphsCode0
Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection—0
What Really Matters for Learning-based LiDAR-Camera Calibration—0
Optimizing Decentralized Online Learning for Supervised Regression and Classification Problems—0
Statistical Inference for Low-Rank Tensor Models—0
GS-CPR: Efficient Camera Pose Refinement via 3D Gaussian SplattingCode2
Can Large Language Models Understand Preferences in Personalized Recommendation?Code1
Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression—0
Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects—0
CHaRNet: Conditioned Heatmap Regression for Robust Dental Landmark Localization—0
EvoGP: A GPU-accelerated Framework for Tree-based Genetic ProgrammingCode7
Test-time regression: a unifying framework for designing sequence models with associative memory—0
Empirical Bayes Estimation for Lasso-Type Regularizers: Analysis of Automatic Relevance Determination—0
Issues with Neural Tangent Kernel Approach to Neural NetworksCode0
Can LLM Generate Regression Tests for Software Commits?—0
Mutual Regression Distance—0
Robust Local Polynomial Regression with Similarity KernelsCode0
SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules—0
SEANN: A Domain-Informed Neural Network for Epidemiological Insights—0
On Learning Informative Trajectory Embeddings for Imitation, Classification and RegressionCode0
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation—0
Projection Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning—0
Artificial Liver Classifier: A New Alternative to Conventional Machine Learning ModelsCode0
Generating Poisoning Attacks against Ridge Regression Models with Categorical Features—0
Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression—0
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression—0
Evaluation of Artificial Intelligence Methods for Lead Time Prediction in Non-Cycled Areas of Automotive Production—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