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regression

Papers

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Showing 3951–4000 of 9424 papers

TitleStatusHype
Polynomial-Spline Neural Networks with Exact Integrals—0
Non-Gaussian Gaussian Processes for Few-Shot RegressionCode1
Tensor Network Kalman Filtering for Large-Scale LS-SVMsCode0
Topologically penalized regression on manifolds—0
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box RegressionCode1
Quantum Algorithms and Lower Bounds for Linear Regression with Norm Constraints—0
Maximum Correntropy Criterion Regression models with tending-to-zero scale parameters—0
Functional instrumental variable regression with an application to estimating the impact of immigration on native wages—0
Applying Regression Conformal Prediction with Nearest Neighbors to time series data—0
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees—0
Variational Gaussian Processes: A Functional Analysis View—0
Deep Asymmetric Hashing with Dual Semantic Regression and Class Structure Quantization—0
Semiparametric discrete data regression with Monte Carlo inference and predictionCode0
Learning curves for Gaussian process regression with power-law priors and targets—0
espiownage: Tracking Transients in Steelpan Drum Strikes Using Surveillance Technology—0
PROMPT: Parallel Iterative Algorithm for _p norm linear regression via Majorization Minimization with an application to semi-supervised graph learning—0
Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning—0
Learning Proposals for Practical Energy-Based RegressionCode1
Projective Manifold Gradient Layer for Deep Rotation RegressionCode1
Conditioning of Random Feature Matrices: Double Descent and Generalization Error—0
SLURP: Side Learning Uncertainty for Regression ProblemsCode1
On Optimal Interpolation In Linear RegressionCode0
Data splitting improves statistical performance in overparametrized regimes—0
AniFormer: Data-driven 3D Animation with TransformerCode1
Adversarial attacks against Bayesian forecasting dynamic models—0
Low Complexity Single Source DOA Estimation Based on Reduced Dimension SVR—0
Data Driven Prediction of Battery Cycle Life Before Capacity Degradation—0
A cautionary tale on fitting decision trees to data from additive models: generalization lower boundsCode0
System Norm Regularization Methods for Koopman Operator ApproximationCode1
Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey—0
Body Part Regression for CT ImagesCode1
Predicting Rebar Endpoints using Sin Exponential Regression Model—0
Regression with Missing Data, a Comparison Study of TechniquesBased on Random ForestsCode0
Gravitational wave surrogates through automated machine learning—0
A revised comparison between FF five-factor model and three-factor model,based on China's A-share market—0
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems—0
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics—0
EncT5: A Framework for Fine-tuning T5 as Non-autoregressive ModelsCode1
BAPGAN: GAN-based Bone Age Progression of Femur and Phalange X-ray Images—0
On Model Selection Consistency of Lasso for High-Dimensional Ising Models—0
Accelerating Genetic Programming using GPUsCode0
Tree-based local explanations of machine learning model predictions, AraucanaXAI—0
Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks—0
Pyramid Correlation based Deep Hough Voting for Visual Object Tracking—0
Propagation on Multi-relational Graphs for Node RegressionCode0
NNK-Means: Data summarization using dictionary learning with non-negative kernel regression—0
Node-screening tests for L0-penalized least-squares problem with supplementary materialCode0
DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration TestingCode1
Universally Rank Consistent Ordinal Regression in Neural NetworksCode1
Subspace Regularizers for Few-Shot Class Incremental LearningCode1
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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