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regression

Papers

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Showing 3551–3600 of 9424 papers

TitleStatusHype
At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?—0
Adaptive Kernel Value Caching for SVM Training—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
Comparing Supervised Machine Learning Techniques for Genre Analysis in Software Engineering Research Articles—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
Comparing various regression methods on ensemble strategies in differential evolution—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
Gaussian process regression for forecasting battery state of health—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
Gaussian Process Regression for Out-of-Sample Extension—0
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames—0
Deep Horseshoe Gaussian Processes—0
Deep Hierarchical Machine: a Flexible Divide-and-Conquer Architecture—0
Frank-Wolfe optimization for deep networks—0
Fraud/Uncollectible Debt Detection Using a Bayesian Network Based Learning System: A Rare Binary Outcome with Mixed Data Structures—0
Fréchet random forests for metric space valued regression with non euclidean predictors—0
Fréchet regression with implicit denoising and multicollinearity reduction—0
Comparison of several short-term traffic speed forecasting models—0
Frequency Autoregressive Image Generation with Continuous Tokens—0
Frequency Domain Gaussian Process Models for H^ Uncertainties—0
Data-driven confidence bands for distributed nonparametric regression—0
A Tutorial on Sparse Gaussian Processes and Variational Inference—0
Frequentist coverage and sup-norm convergence rate in Gaussian process 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
Deep Head Pose Estimation from Depth Data for In-car Automotive Applications—0
Deep Haar Scattering Networks in Pattern Recognition: A promising approach—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