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regression

Papers

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Showing 4876–4900 of 9424 papers

TitleStatusHype
Joint Prediction of Remaining Useful Life and Failure Type of Train Wheelsets: A Multi-task Learning Approach—0
Discriminative Noise Robust Sparse Orthogonal Label Regression-based Domain Adaptation—0
FII-CenterNet: An Anchor-Free Detector With Foreground Attention for Traffic Object DetectionCode1
Heteroscedasticity-aware residuals-based contextual stochastic optimization—0
Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods—0
A Novel Regression Loss for Non-Parametric Uncertainty Optimization—0
Learning a binary search with a recurrent neural network. A novel approach to ordinal regression analysis—0
Predicting CEO Compensation in Non-Controlled Public Corporations with the Canonical Regression Quantile Method—0
Weighted Ensemble-model and Network Analysis: A method to predict fluid intelligence via naturalistic functional connectivity—0
Do We Really Need Deep Learning Models for Time Series Forecasting?Code1
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models—0
Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models—0
A unifying approach on bias and variance analysis for classification—0
Regression Discontinuity Design with Many Thresholds—0
Gauss-Legendre Features for Gaussian Process Regression—0
CLeaR: An Adaptive Continual Learning Framework for Regression Tasks—0
COVID-19 spreading in financial networks: A semiparametric matrix regression model—0
Discriminating Homonymy from Polysemy in Wordnets: English, Spanish and Polish Nouns—0
Removing the Bias of Integral Pose Regression—0
Generalized Shuffled Linear Regression—0
B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-LearningCode0
Quantile Regularization : Towards Implicit Calibration of Regression Models—0
ChePAN: Constrained Black-Box Uncertainty Modelling with Quantile Regression—0
Incremental few-shot learning via vector quantization in deep embedded space—0
Bayesian Context Aggregation for Neural Processes—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