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regression

Papers

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Showing 4451–4500 of 9424 papers

TitleStatusHype
Benign Overfitting in Linear Regression—0
Donut Regression Discontinuity Designs—0
Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression—0
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression—0
A Nearly-Optimal Bound for Fast Regression with _ Guarantee—0
Domain-Independent turn-level Dialogue Quality Evaluation via User Satisfaction Estimation—0
Benign Overfitting for Regression with Trained Two-Layer ReLU Networks—0
Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration—0
Benign overfitting and adaptive nonparametric regression—0
A Nearest Neighbor Characterization of Lebesgue Points in Metric Measure Spaces—0
Benign overfitting in Fixed Dimension via Physics-Informed Learning with Smooth Inductive Bias—0
Does Your Phone Know Your Touch?—0
Does the financialization of agricultural commodities impact food security? An empirical investigation—0
Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression—0
Anderson acceleration of coordinate descent—0
Does SLOPE outperform bridge regression?—0
Does Regression Produce Representative Causal Rankings?—0
Does deep learning always outperform simple linear regression in optical imaging?—0
Does data interpolation contradict statistical optimality?—0
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression—0
Anchor Free remote sensing detector based on solving discrete polar coordinate equation—0
A Descriptive Study of Variable Discretization and Cost-Sensitive Logistic Regression on Imbalanced Credit Data—0
A Comparison of Machine Learning Algorithms for Predicting Sea Surface Temperature in the Great Barrier Reef Region—0
A Bi-level Framework for Traffic Accident Duration Prediction: Leveraging Weather and Road Condition Data within a Practical Optimum Pipeline—0
Does Artificial Intelligence benefit UK businesses? An empirical study of the impact of AI on productivity—0
Increasing Depth Leads to U-Shaped Test Risk in Over-parameterized Convolutional Networks—0
Benchmarking the Neural Linear Model for Regression—0
Document Similarity from Vector Space Densities—0
DNNR: Differential Nearest Neighbors Regression—0
Benchmarking symbolic regression constant optimization schemes—0
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors—0
DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning—0
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm—0
DNAGPT: A Generalized Pre-trained Tool for Versatile DNA Sequence Analysis Tasks—0
DMRVisNet: Deep Multi-head Regression Network for Pixel-wise Visibility Estimation Under Foggy Weather—0
Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivity—0
Anchored Regression Networks Applied to Age Estimation and Super Resolution—0
DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting—0
DMGroup at EmoInt-2017: Emotion Intensity Using Ensemble Method—0
DMCB at SemEval-2018 Task 1: Transfer Learning of Sentiment Classification Using Group LSTM for Emotion Intensity prediction—0
Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques—0
Divorce Prediction with Machine Learning: Insights and LIME Interpretability—0
Belief likelihood function for generalised logistic regression—0
Divide and Recombine for Large and Complex Data: Model Likelihood Functions using MCMC—0
Divide and Conquer Local Average Regression—0
Belief Flows of Robust Online Learning—0
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression—0
A Deep Regression Model for Seed Identification in Prostate Brachytherapy—0
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates—0
Diversity sampling is an implicit regularization for kernel methods—0
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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