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regression

Papers

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Showing 3751–3800 of 9424 papers

TitleStatusHype
Disjoint Contrastive Regression Learning for Multi-Sourced Annotations—0
Formal Verification of Unknown Dynamical Systems via Gaussian Process RegressionCode0
Time varying regression with hidden linear dynamics—0
Nested Nonparametric Instrumental Variable Regression—0
Exponential Family Model-Based Reinforcement Learning via Score MatchingCode0
Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction—0
Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds—0
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning—0
DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine LearningCode0
Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression—0
Bayesian Approaches to Shrinkage and Sparse EstimationCode0
The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions—0
Preserving gauge invariance in neural networks—0
Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass—0
Toward Explainable AI for Regression ModelsCode1
Predicting treatment effects from observational studies using machine learning methods: A simulation study—0
CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding—0
Modelling of Received Signals in Molecular Communication Systems based machine learning: Comparison of azure machine learning and Python tools—0
Discretization and Re-synthesis: an alternative method to solve the Cocktail Party Problem—0
Improving evidential deep learning via multi-task learningCode1
Correlated Product of Experts for Sparse Gaussian Process Regression—0
Constrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding—0
Uniform Convergence Results for the Local Linear Regression Estimation of the Conditional Distribution—0
Lassoed Boosting and Linear Prediction in the Equities Market—0
A prediction-based approach for online dynamic patient scheduling: a case study in radiotherapy treatment—0
Toward Minimal Misalignment at Minimal Cost in One-Stage and Anchor-Free Object DetectionCode0
Putting People in their Place: Monocular Regression of 3D People in DepthCode2
Stock prices and Macroeconomic indicators: Investigating a correlation in Indian context—0
Machine learning a manifold—0
Bayesian Learning of Play Styles in Multiplayer Video Games—0
AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers—0
Self-Paced Deep Regression Forests with Consideration of Ranking FairnessCode0
Quantile Regression under Limited Dependent Variable—0
Predicting Airbnb Rental Prices Using Multiple Feature Modalities—0
How Good are Low-Rank Approximations in Gaussian Process Regression?Code0
Housing Price Prediction Model Selection Based on Lorenz and Concentration Curves: Empirical Evidence from Tehran Housing Market—0
Semi-supervised teacher-student deep neural network for materials discoveryCode1
Gaussian Process Regression With Interpretable Sample-Wise Feature WeightsCode1
Neural Multi-Quantile Forecasting for Optimal Inventory Management—0
Modelling DDoS Attacks in IoT Networks using Machine Learning—0
Structure-Preserving Learning Using Gaussian Processes and Variational Integrators—0
Multi-objective simulation optimization of the adhesive bonding process of materials—0
On the Relation between Prediction and Imputation Accuracy under Missing Covariates—0
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object DetectionCode1
IterMVS: Iterative Probability Estimation for Efficient Multi-View StereoCode1
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment—0
Differentially Private Ensemble Classifiers for Data StreamsCode0
Autoregressive Quantile Flows for Predictive Uncertainty Estimation—0
Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression—0
DMRVisNet: Deep Multi-head Regression Network for Pixel-wise Visibility Estimation Under Foggy Weather—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