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regression

Papers

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Showing 1601–1650 of 9424 papers

TitleStatusHype
Co-data Learning for Bayesian Additive Regression TreesCode0
Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production—0
Neuroscience inspired scientific machine learning (Part-1): Variable spiking neuron for regression—0
Statistical learning by sparse deep neural networks—0
Model Agnostic Explainable Selective Regression via Uncertainty Estimation—0
A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width—0
Transformers can optimally learn regression mixture models—0
Sparse Linear Regression with Constraints: A Flexible Entropy-based Framework—0
On semi-supervised estimation using exponential tilt mixture models—0
Counterfactual Explanation for Regression via Disentanglement in Latent Space—0
Estimating Conditional Value-at-Risk with Nonstationary Quantile Predictive Regression Models—0
The Hyperdimensional Transform for Distributional Modelling, Regression and ClassificationCode0
Incremento del precio de los combustibles y su incidencia en los productos de la canasta basica del canton el triunfo, provincia del guayas—0
A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options—0
Uncertainty estimation of machine learning spatial precipitation predictions from satellite data—0
MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation FunctionsCode0
Robust Regression over Averaged Uncertainty—0
Anchor Data AugmentationCode0
Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks—0
2D Image head pose estimation via latent space regression under occlusion settingsCode0
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces—0
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients—0
Regression with Cost-based Rejection—0
Determination of toxic comments and unintended model bias minimization using Deep learning approachCode0
CATE Estimation With Potential Outcome Imputation From Local Regression—0
Computing Approximate _p Sensitivities—0
CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus imagesCode0
On regularized polynomial functional regression—0
FocusTune: Tuning Visual Localization through Focus-Guided SamplingCode1
Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding BoxCode1
Optimal Estimation Methodologies for Panel Data Regression Models—0
Mobile Internet Quality Estimation using Self-Tuning Kernel Regression—0
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural NetworksCode0
Predicting Ground Reaction Force from Inertial Sensors—0
Sample Complexity of Linear Regression Models for Opinion Formation in NetworksCode0
Forecasting Post-Wildfire Vegetation Recovery in California using a Convolutional Long Short-Term Memory Tensor Regression Network—0
Regularized Linear Regression for Binary Classification—0
Changing the Kernel During Training Leads to Double Descent in Kernel RegressionCode0
Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing—0
Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and RegressionCode0
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective—0
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysisCode1
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization AlgorithmsCode1
Impact of Investing Characteristics on Financial Performance of Individual Investors: An Exploratory Study—0
Improving Cardiovascular Disease Prediction Through Comparative Analysis of Machine Learning Models: A Case Study on Myocardial Infarction—0
Robust and Conjugate Gaussian Process RegressionCode0
A Bi-level Framework for Traffic Accident Duration Prediction: Leveraging Weather and Road Condition Data within a Practical Optimum Pipeline—0
Calibration by Distribution Matching: Trainable Kernel Calibration MetricsCode0
Stochastic Time-Optimal Trajectory Planning for Connected and Automated Vehicles in Mixed-Traffic Merging Scenarios—0
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval—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