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regression

Papers

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Showing 4301–4350 of 9424 papers

TitleStatusHype
Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses—0
Geometry-Aware Hierarchical Bayesian Learning on Manifolds—0
High-dimensional multi-trait GWAS by reverse prediction of genotypesCode0
Comparing Machine Learning-Centered Approaches for Forecasting Language Patterns During Frustration in Early Childhood—0
Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC—0
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation—0
Optimal prediction for kernel-based semi-functional linear regression—0
Aggregation as Unsupervised Learning and its Evaluation—0
Selective Regression Under Fairness CriteriaCode0
Sliding Sequential CVAE with Time Variant Socially-aware Rethinking for Trajectory Prediction—0
Improving Causal Effect Estimation of Weighted RegressionBased Estimator using Neural Networks—0
Spectrahedral Regression—0
Fuzzy Generative Adversarial Networks—0
Validating Gaussian Process Models with Simulation-Based Calibration—0
Nearest neighbor empirical processes—0
Scalable Bayesian Network Structure Learning with Splines—0
Inference in Regression Discontinuity Designs with High-Dimensional CovariatesCode0
Tensor Network Kalman Filtering for Large-Scale LS-SVMsCode0
Polynomial-Spline Neural Networks with Exact Integrals—0
Topologically penalized regression on manifolds—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
Quantum Algorithms and Lower Bounds for Linear Regression with Norm Constraints—0
Maximum Correntropy Criterion Regression models with tending-to-zero scale parameters—0
Deep Asymmetric Hashing with Dual Semantic Regression and Class Structure Quantization—0
Semiparametric discrete data regression with Monte Carlo inference and predictionCode0
PROMPT: Parallel Iterative Algorithm for _p norm linear regression via Majorization Minimization with an application to semi-supervised graph learning—0
espiownage: Tracking Transients in Steelpan Drum Strikes Using Surveillance Technology—0
Learning curves for Gaussian process regression with power-law priors and targets—0
Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning—0
Conditioning of Random Feature Matrices: Double Descent and Generalization Error—0
Data splitting improves statistical performance in overparametrized regimes—0
On Optimal Interpolation In Linear RegressionCode0
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
Predicting Rebar Endpoints using Sin Exponential Regression Model—0
Regression with Missing Data, a Comparison Study of TechniquesBased on Random ForestsCode0
A cautionary tale on fitting decision trees to data from additive models: generalization lower boundsCode0
Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey—0
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
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics—0
On Model Selection Consistency of Lasso for High-Dimensional Ising Models—0
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems—0
BAPGAN: GAN-based Bone Age Progression of Femur and Phalange X-ray Images—0
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
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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