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regression

Papers

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Showing 5301–5350 of 9424 papers

TitleStatusHype
Symbolic Regression on Sparse and Noisy Data with Gaussian Processes—0
GPTreeO: An R package for continual regression with dividing local Gaussian processes—0
GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification—0
GPU-Friendly Local Regression for Voice Conversion—0
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network—0
Gradient-Based Empirical Risk Minimization using Local Polynomial Regression—0
Gradient-based Optimization for Regression in the Functional Tensor-Train Format—0
Gradient-based Regularization Parameter Selection for Problems with Non-smooth Penalty Functions—0
Gradient Boosted Binary Histogram Ensemble for Large-scale Regression—0
Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances—0
Gradient boosting machine with partially randomized decision trees—0
Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction—0
Gradient Coding with Iterative Block Leverage Score Sampling—0
Gradient Descent Converges Linearly for Logistic Regression on Separable Data—0
Ridge Regression with Over-Parametrized Two-Layer Networks Converge to Ridgelet Spectrum—0
Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regression—0
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization—0
Gradient Kernel Regression—0
Gradient Sparsification for Communication-Efficient Distributed Optimization—0
Gradient tree boosting with random output projections for multi-label classification and multi-output regression—0
Gradient Weights help Nonparametric Regressors—0
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting—0
Graph-based regularization for regression problems with alignment and highly-correlated designs—0
Graph convolutional networks for exploring authorship hypotheses—0
Graph convolutional regression of cardiac depolarization from sparse endocardial maps—0
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification)—0
Grapheme-to-Phoneme Conversion for Thai using Neural Regression Models—0
Graph Enhanced High Dimensional Kernel Regression—0
Practical Contextual Bandits with Feedback Graphs—0
Graphical Convergence of Subgradients in Nonconvex Optimization and Learning—0
GraphMDN: Leveraging graph structure and deep learning to solve inverse problems—0
Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression—0
Graph Neural Tangent Kernel: Convergence on Large Graphs—0
Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement—0
Graph Regularized Low Rank Representation for Aerosol Optical Depth Retrieval—0
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling—0
Graph Signal Processing for Heterogeneous Change Detection Part II: Spectral Domain Analysis—0
Graph-Valued Regression—0
Gravitational wave surrogates through automated machine learning—0
Greedy Active Learning Algorithm for Logistic Regression Models—0
Greedy Feature Construction—0
Leveraging Image Matching Toward End-to-End Relative Camera Pose Regression—0
Grenzlinie at SemEval-2021 Task 7: Detecting and Rating Humor and Offense—0
G-Rep: Gaussian Representation for Arbitrary-Oriented Object Detection—0
Group Additive Structure Identification for Kernel Nonparametric Regression—0
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification—0
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors—0
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction—0
Group Regression for Query Based Object Detection and Tracking—0
Group selection and shrinkage: Structured sparsity for semiparametric additive models—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