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regression

Papers

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Showing 8401–8450 of 9424 papers

TitleStatusHype
Gaussian process regression and conditional Karhunen-Loéve models for data assimilation in inverse problemsCode0
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order ConvergenceCode0
On the Equivalence between Neural Network and Support Vector MachineCode0
Query Focused Multi-document Summarisation of Biomedical TextsCode0
Query Focused Multi-document Summarisation of Biomedical Texts: Macquarie Universiy and the Australian National University at BioASQ8bCode0
Double Machine Learning Methods for Estimating Average Treatment Effects: A Comparative StudyCode0
Bandwidth Selection for Gaussian Kernel Ridge Regression via Jacobian ControlCode0
Contextual Regression: An Accurate and Conveniently Interpretable Nonlinear Model for Mining Discovery from Scientific DataCode0
Content-based Popularity Prediction of Online Petitions Using a Deep Regression ModelCode0
Question-Attentive Review-Level for Neural Rating RegressionCode0
Construction de variables a l'aide de classifieurs comme aide a la regressionCode0
Quasi-Bayesian Dual Instrumental Variable RegressionCode0
Airbnb Price Prediction Using Machine Learning and Sentiment AnalysisCode0
Brain Morphometry Estimation: From Hours to Seconds Using Deep LearningCode0
Doubly Stochastic Variational Inference for Deep Gaussian ProcessesCode0
Gaussian Process Regression NetworksCode0
On the Gaussian process limit of Bayesian Additive Regression TreesCode0
Machine Learning Algorithms to Assess Site Closure Time Frames for Soil and Groundwater ContaminationCode0
Double Cross-fit Doubly Robust Estimators: Beyond Series RegressionCode0
Machine learning algorithms to infer trait-matching and predict species interactions in ecological networksCode0
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernelsCode0
Q-Value Weighted Regression: Reinforcement Learning with Limited DataCode0
Racing Control Variable Genetic Programming for Symbolic RegressionCode0
Gaussian Process Subspace Regression for Model ReductionCode0
Scalable Regularised Joint Mixture ModelsCode0
Radial Based Analysis of GRNN in Non-Textured Image InpaintingCode0
AI Blue Book: Vehicle Price Prediction using Visual FeaturesCode0
Scalable Sparse Regression for Model Discovery: The Fast Lane to InsightCode0
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural NetworksCode0
A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image CaptioningCode0
Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-timeCode0
Domain Generalization by Functional RegressionCode0
A-SCoRe: Attention-based Scene Coordinate Regression for wide-ranging scenariosCode0
GCT-TTE: Graph Convolutional Transformer for Travel Time EstimationCode0
GDN: A Stacking Network Used for Skin Cancer DiagnosisCode0
DOLDA - a regularized supervised topic model for high-dimensional multi-class regressionCode0
A Continuous Optimisation Benchmark Suite from Neural Network RegressionCode0
DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous DataCode0
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for CompressionCode0
A Hierarchical Regression Chain Framework for Affective Vocal Burst RecognitionCode0
Active Learning for Non-Parametric Regression Using Purely Random TreesCode0
Variational Bayesian Weighted Complex Network ReconstructionCode0
Constructing Variables Using Classifiers as an Aid to Regression: An Empirical AssessmentCode0
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural NetworksCode0
Band-gap regression with architecture-optimized message-passing neural networksCode0
Scale-invariant biomarker discovery in urine and plasma metabolite fingerprintsCode0
Machine Learning Classifiers Do Not Improve the Prediction of Academic Risk: Evidence from AustraliaCode0
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity AnalysisCode0
Uncertainty Quantification in SVM predictionCode0
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph CoarseningCode0
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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