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regression

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Showing 5576–5600 of 9424 papers

TitleStatusHype
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables—0
Empirical Likelihood Covariate Adjustment for Regression Discontinuity Designs—0
Defending Regression Learners Against Poisoning AttacksCode0
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control—0
Minimum discrepancy principle strategy for choosing k in k-NN regressionCode0
Estimating the time-lapse between medical insurance reimbursement with non-parametric regression models—0
Structure Learning in Inverse Ising Problems Using _2-Regularized Linear Estimator—0
Positive semidefinite support vector regression metric learning—0
Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes—0
Visual stream connectivity predicts assessments of image quality—0
Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences—0
The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization—0
Binarised Regression with Instance-Varying Costs: Evaluation using Impact Curves—0
Deep Domain Adaptation for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labelled VideosCode0
Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations—0
Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements via KISS-GP—0
On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression—0
A dynamic ordered logit model with fixed effects—0
Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer—0
Flow Field Reconstructions with GANs based on Radial Basis Functions—0
Political Openness and Armed Conflict: Evidence from Local Councils in Colombia—0
Airflow recovery from thoracic and abdominal movements using Synchrosqueezing Transform and Locally Stationary Gaussian Process Regression—0
Deterministic error bounds for kernel-based learning techniques under bounded noiseCode0
DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic RegressionCode0
Feature Ranking for Semi-supervised Learning—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