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regression

Papers

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Showing 3551–3600 of 9424 papers

TitleStatusHype
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning—0
Estimating Chlorophyll a Concentrations of Several Inland Waters with Hyperspectral Data and Machine Learning Models—0
Forecasting Hyponatremia in hospitalized patients Using Multilayer Perceptron and Multivariate Linear Regression Techniques—0
Forecasting in multivariate irregularly sampled time series with missing values—0
Cluster-based Regression using Variational Inference and Applications in Financial Forecasting—0
Forecasting Mobile Traffic with Spatiotemporal correlation using Deep Regression—0
Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression—0
Forecasting Post-Wildfire Vegetation Recovery in California using a Convolutional Long Short-Term Memory Tensor Regression Network—0
Forecasting Stock Market with Support Vector Regression and Butterfly Optimization Algorithm—0
Forecasting Thai inflation from univariate Bayesian regression perspective—0
Forecasting the term structure of crude oil futures prices with neural networks—0
Forecasting VaR and ES using a joint quantile regression and implications in portfolio allocation—0
Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data—0
Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions—0
Forest-type Regression with General Losses and Robust Forest—0
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets—0
For interpolating kernel machines, minimizing the norm of the ERM solution minimizes stability—0
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques—0
Formation of Regression Model for Analysis of Complex Systems Using Methodology of Genetic Algorithms—0
Forming Predictive Features of Tweets for Decision-Making Support—0
Forward-backward kernel-based state and parameter estimation for linear systems of arbitrary order—0
Estimating biomass migration parameters by analyzing the spatial behavior of the fishing fleet—0
Forward Selection Fama-MacBeth Regression with Higher-Order Asset Pricing Factors—0
Fostering User Engagement: Rhetorical Devices for Applause Generation Learnt from TED Talks—0
FourierNet: Shape-Preserving Network for Henle's Fiber Layer Segmentation in Optical Coherence Tomography Images—0
Fourier Representations for Black-Box Optimization over Categorical Variables—0
Fourier Transform Approach to Machine Learning I: Fourier Regression—0
FPDIoU Loss: A Loss Function for Efficient Bounding Box Regression of Rotated Object Detection—0
An Intelligent QoS Algorithm for Home Networks—0
Estimates on Learning Rates for Multi-Penalty Distribution Regression—0
CAM: Causal additive models, high-dimensional order search and penalized regression—0
espiownage: Tracking Transients in Steelpan Drum Strikes Using Surveillance Technology—0
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators—0
Fraud/Uncollectible Debt Detection Using a Bayesian Network Based Learning System: A Rare Binary Outcome with Mixed Data Structures—0
Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction—0
Fréchet regression with implicit denoising and multicollinearity reduction—0
An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics—0
Adversarial Multiple Source Domain Adaptation—0
Frequency Domain Gaussian Process Models for H^ Uncertainties—0
Data-driven confidence bands for distributed nonparametric regression—0
A Constrained Deep Neural Network for Ordinal Regression—0
A Case-Study on the Impact of Dynamic Time Warping in Time Series Regression—0
FRI -- Feature Relevance Intervals for Interpretable and Interactive Data Exploration—0
FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation—0
(Frisch-Waugh-Lovell)': On the Estimation of Regression Models by Row—0
From Depth Data to Head Pose Estimation: a Siamese approach—0
From Empirical Evaluation to Context-Aware Enhancement: Repairing Regression Errors with LLMs—0
From Estimation to Sampling for Bayesian Linear Regression with Spike-and-Slab Prior—0
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction—0
A Performance Analysis of Lexicase-Based and Traditional Selection Methods in GP for Symbolic Regression—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