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regression

Papers

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Showing 5051–5100 of 9424 papers

TitleStatusHype
Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations—0
Fitted Q-iteration by Advantage Weighted Regression—0
Fitting very flexible models: Linear regression with large numbers of parameters—0
Fixing an error in Caponnetto and de Vito (2007)—0
FKreg: A MATLAB toolbox for fast Multivariate Kernel Regression—0
Flexible Bayesian Quantile Analysis of Residential Rental Rates—0
Robust inference on the average treatment effect using the outcome highly adaptive lasso—0
Flexible conditional density estimation for time series—0
Flexible Covariate Adjustments in Regression Discontinuity Designs—0
Flexible Domain Adaptation for Automated Essay Scoring Using Correlated Linear Regression—0
Flight Sensor Data and Beamforming based Integrated UAV Tracking with Channel Estimation using Gaussian Process Regression—0
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization—0
Flow Field Reconstructions with GANs based on Radial Basis Functions—0
Flying Objects Detection from a Single Moving Camera—0
F-measure Maximizing Logistic Regression—0
Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans—0
Fooling Computer Vision into Inferring the Wrong Body Mass Index—0
Foolish Crowds Support Benign Overfitting—0
Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles—0
Forecasting Bitcoin closing price series using linear regression and neural networks models—0
Forecasting Consumer Spending from Purchase Intentions Expressed on Social Media—0
Forecasting Cryptocurrency Staking Rewards—0
Forecasting Electricity Spot Prices using Lasso: On Capturing the Autoregressive Intraday Structure—0
Forecasting Emerging Trends from Scientific Literature—0
Forecasting foreign exchange rates with regression networks tuned by Bayesian optimization—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
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
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
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
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames—0
Frank-Wolfe optimization for deep networks—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