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regression

Papers

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Showing 1501–1550 of 9424 papers

TitleStatusHype
Prediction of rare events in the operation of household equipment using co-evolving time series—0
Measurement-based/Model-less Estimation of Voltage Sensitivity Coefficients by Feedforward and LSTM Neural Networks in Power Distribution Grids—0
Modeling Epidemic Spread: A Gaussian Process Regression ApproachCode0
Gaussian Process Regression under Computational and Epistemic Misspecification—0
Deep Learning-Based Cyber-Attack Detection Model for Smart Grids—0
Deep learning-based estimation of time-dependent parameters in Markov models with application to nonlinear regression and SDEsCode0
Levenshtein Distance Embedding with Poisson Regression for DNA Storage—0
Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation—0
Contextual Bandits with Online Neural Regression—0
A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data StreamsCode0
Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty—0
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm—0
Edge Wasserstein Distance Loss for Oriented Object Detection—0
KF-PLS: Optimizing Kernel Partial Least-Squares (K-PLS) with Kernel Flows—0
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose EstimationCode0
Adaptive Parameter Selection for Kernel Ridge Regression—0
PSCR: Patches Sampling-based Contrastive Regression for AIGC Image Quality AssessmentCode0
Multi-source domain adaptation for regression—0
Optimal Unbiased Randomizers for Regression with Label Differential Privacy—0
D3A-TS: Denoising-Driven Data Augmentation in Time SeriesCode1
Decoding Mean Field Games from Population and Environment Observations By Gaussian Processes—0
Estimation Sample Complexity of a Class of Nonlinear Continuous-time Systems—0
Membership Inference Attacks on Diffusion Models via Quantile Regression—0
Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy—0
A Transformer Model for Symbolic Regression towards Scientific DiscoveryCode1
Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation—0
Predicting the Transportation Activities of Construction Waste Hauling Trucks: An Input-Output Hidden Markov Approach—0
Physical Symbolic OptimizationCode3
Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization ApproachCode1
LSTSVR-PI: Least square twin support vector regression with privileged information—0
Privacy-Aware Data Acquisition under Data Similarity in Regression Markets—0
GDN: A Stacking Network Used for Skin Cancer DiagnosisCode0
Kunyu: A High-Performing Global Weather Model Beyond Regression Losses—0
Innovations in Agricultural Forecasting: A Multivariate Regression Study on Global Crop Yield Prediction—0
Distributed Continual Learning with CoCoA in High-dimensional Linear Regression—0
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression—0
Bayesian Nonlinear Regression using Sums of Simple Functions—0
Class Symbolic Regression: Gotta Fit 'Em AllCode3
Coefficient Shape Alignment in Multiple Functional Linear Regression—0
Toward Automated Quantum Variational Machine Learning—0
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression—0
A generalisation of the method of regression calibration and comparison with Bayesian and frequentist model averaging methods—0
Relation between PLS and OLS regression in terms of the eigenvalue distribution of the regressor covariance matrix—0
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series—0
Automatic Scoring of Students' Science Writing Using Hybrid Neural Network—0
Inference on many jumps in nonparametric panel regression models—0
Investigation on data fusion of sun-induced chlorophyll fluorescence and reflectance for photosynthetic capacity of rice—0
EEG-Based Reaction Time Prediction with Fuzzy Common Spatial Patterns and Phase Cohesion using Deep Autoencoder Based Data Fusion—0
GFN-SR: Symbolic Regression with Generative Flow NetworksCode0
Target-agnostic Source-free Domain Adaptation for Regression Tasks—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