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regression

Papers

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Showing 2251–2275 of 9424 papers

TitleStatusHype
Random neural networks for rough volatility—0
Estimation and Inference in Threshold Predictive Regression Models with Locally Explosive Regressors—0
Improving Rating Prediction in Multi-Criteria Recommender Systems via a Collective Factor ModelCode0
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression—0
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression—0
Activation Functions Not To Active: A Plausible Theory on Interpreting Neural Networks—0
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression—0
EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations—0
Data-Driven Subgroup Identification for Linear RegressionCode0
The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests—0
Enhancing Supply Chain Resilience: A Machine Learning Approach for Predicting Product Availability Dates Under Disruption—0
A feature selection method based on Shapley values robust to concept shift in regressionCode0
Augmented balancing weights as linear regression—0
A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB ImageCode1
TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regression—0
Regression with Sensor Data Containing Incomplete Observations—0
Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization—0
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression—0
Learning battery model parameter dynamics from data with recursive Gaussian process regression—0
Multi-Task Learning Regression via Convex Clustering—0
Positive definite nonparametric regression using an evolutionary algorithm with application to covariance function estimationCode0
Quantum Gaussian Process Regression for Bayesian Optimization—0
Performance Evaluation of Regression Models in Predicting the Cost of Medical Insurance—0
Theory of Posterior Concentration for Generalized Bayesian Additive Regression Trees—0
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier—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