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regression

Papers

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Showing 5601–5650 of 9424 papers

TitleStatusHype
High-Dimensional Linear Regression via Implicit Regularization—0
Out-of-distribution detection for regression tasks: parameter versus predictor entropy—0
Implicit ZCA Whitening Effects of Linear Autoencoders for Recommendation—0
Importance Weighting Correction of Regularized Least-Squares for Covariate and Target Shifts—0
Important Molecular Descriptors Selection Using Self Tuned Reweighted Sampling Method for Prediction of Antituberculosis Activity—0
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model—0
Improved Calibration of Near-Infrared Spectra by Using Ensembles of Neural Network Models—0
Improved Clustering with Augmented k-means—0
Improved conformalized quantile regression—0
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning—0
Improved Convex Decomposition with Ensembling and Boolean Primitives—0
Improved Feature Generating Framework for Transductive Zero-shot Learning—0
Improved Generalization Bounds for Adversarially Robust Learning—0
Improved Generalization of Heading Direction Estimation for Aerial Filming Using Semi-supervised Regression—0
Improved identification of breakpoints in piecewise regression and its applications—0
Improved Indoor Localization with Machine Learning Techniques for IoT applications—0
Improved Information Gain Estimates for Decision Tree Induction—0
Improved Learning of One-hidden-layer Convolutional Neural Networks with Overlaps—0
Improved motion correction for functional MRI using an omnibus regression model—0
Improved PAC-Bayesian Bounds for Linear Regression—0
Improved Point Estimation for the Rayleigh Regression Model—0
Improved prediction of soil properties with Multi-target Stacked Generalisation on EDXRF spectra—0
Improved prediction rule ensembling through model-based data generation—0
Improved Text Classification of Long-term Care Materials—0
Improve Generalization Ability of Deep Wide Residual Network with A Suitable Scaling Factor—0
Improve SAT-solving with Machine Learning—0
Improving Adaptivity via Over-Parameterization in Sequence Models—0
epBRM: Improving a Quality of 3D Object Detection using End Point Box Regression Module—0
Improving Cardiovascular Disease Prediction Through Comparative Analysis of Machine Learning Models: A Case Study on Myocardial Infarction—0
Improving Causal Effect Estimation of Weighted RegressionBased Estimator using Neural Networks—0
Out-of-distribution robustness for multivariate analysis via causal regularisation—0
Improving Implicit Regularization of SGD with Preconditioning for Least Square Problems—0
Improving Naive Bayes for Regression with Optimised Artificial Surrogate Data—0
Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction—0
Improving One-Shot Learning through Fusing Side Information—0
Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation—0
Position Bias Estimation with Item Embedding for Sparse Dataset—0
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion—0
Improving predictions by nonlinear regression models from outlying input data—0
Improving pronunciation assessment via ordinal regression with anchored reference samples—0
Improving Random Forests by Smoothing—0
Improving Regression-based Event Study Analysis Using a Topological Machine-learning Method—0
Improving Regression Performance with Distributional Losses—0
CRUDE: Calibrating Regression Uncertainty Distributions Empirically—0
Reliable Neural Networks for Regression Uncertainty Estimation—0
Improving Robustness for Pose Estimation via Stable Heatmap Regression—0
Theoretical and Empirical Advances in Forest Pruning—0
Improving the Generalization Ability in Essay Coherence Evaluation through Monotonic Constraints—0
Improving the generalization of network based relative pose regression: dimension reduction as a regularizer—0
Improving the Lexical Function Composition Model with Pathwise Optimized Elastic-Net Regression—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