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regression

Papers

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Showing 2851–2900 of 9424 papers

TitleStatusHype
Augmented balancing weights as linear regression—0
Multi-Task Learning Regression via Convex Clustering—0
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression—0
Learning battery model parameter dynamics from data with recursive Gaussian process regression—0
Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization—0
Regression with Sensor Data Containing Incomplete Observations—0
Theory of Posterior Concentration for Generalized Bayesian Additive Regression Trees—0
Quantum Gaussian Process Regression for Bayesian Optimization—0
Performance Evaluation of Regression Models in Predicting the Cost of Medical Insurance—0
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier—0
Positive definite nonparametric regression using an evolutionary algorithm with application to covariance function estimationCode0
Sparse Private LASSO Logistic Regression—0
Estimation of sparse linear regression coefficients under L-subexponential covariates—0
On the Soundness of XAI in Prognostics and Health Management (PHM)Code0
Quantum Machine Learning Approach for the Prediction of Surface Roughness in Additive Manufactured Specimens—0
Robust, randomized preconditioning for kernel ridge regressionCode0
Stochastic Cell Transmission Models of Traffic Networks—0
Quantile Extreme Gradient Boosting for Uncertainty Quantification—0
Dependence of Physiochemical Features on Marine Chlorophyll Analysis with Learning Techniques—0
Controllable Neural Symbolic Regression—0
Optimal Kernel for Kernel-Based Modal Statistical Methods—0
Optimality of Robust Online Learning—0
Attention Scheme Inspired Softmax Regression—0
Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory—0
Knowledge Distillation Under Ideal Joint Classifier Assumption—0
The Adaptive τ-Lasso: Robustness and Oracle Properties—0
Differentiable Genetic Programming for High-dimensional Symbolic Regression—0
Adjustment with Many Regressors Under Covariate-Adaptive Randomizations—0
Analysis of Interpolating Regression Models and the Double Descent Phenomenon—0
Toward Auto-evaluation with Confidence-based Category Relation-aware Regression—0
Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings—0
Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling—0
A comparison between Recurrent Neural Networks and classical machine learning approaches In Laser induced breakdown spectroscopy—0
The XAISuite framework and the implications of explanatory system dissonanceCode0
Multivariate regression modeling in integrative analysis via sparse regularization—0
CoPR: Towards Accurate Visual Localization With Continuous Place-descriptor Regression—0
OPI at SemEval 2023 Task 9: A Simple But Effective Approach to Multilingual Tweet Intimacy Analysis—0
Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments—0
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report—0
Priors for symbolic regressionCode0
OKRidge: Scalable Optimal k-Sparse Ridge RegressionCode0
Multi-kernel Correntropy Regression: Robustness, Optimality, and Application on Magnetometer Calibration—0
Understanding Overfitting in Adversarial Training via Kernel Regression—0
RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction—0
Cooperative Online Learning for Multi-Agent System Control via Gaussian Processes with Event-Triggered Mechanism: Extended Version—0
Electricity Demand Forecasting with Hybrid Statistical and Machine Learning Algorithms: Case Study of Ukraine—0
Financial Hedging and Risk Compression, A journey from linear regression to neural network—0
Life Regression based Patch Slimming for Vision Transformers—0
Learning Residual Model of Model Predictive Control via Random Forests for Autonomous Driving—0
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning—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