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regression

Papers

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Showing 1001–1025 of 9424 papers

TitleStatusHype
Agreement Prediction of Arguments in Cyber Argumentation for Detecting Stance Polarity and Intensity—0
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods—0
A Societal Sentiment Analysis: Predicting the Values and Ethics of Individuals by Analysing Social Media Content—0
A Solver + Gradient Descent Training Algorithm for Deep Neural Networks—0
A Sparse Gaussian Process Framework for Photometric Redshift Estimation—0
A sparse PAC-Bayesian approach for high-dimensional quantile prediction—0
Approximation Bounds for Transformer Networks with Application to Regression—0
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems—0
A spectral algorithm for robust regression with subgaussian rates—0
A spectral least-squares-type method for heavy-tailed corrupted regression with unknown covariance \& heterogeneous noise—0
A Hidden Variables Approach to Multilabel Logistic Regression—0
A Spectral Series Approach to High-Dimensional Nonparametric Regression—0
A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation—0
A spectrum of physics-informed Gaussian processes for regression in engineering—0
A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking—0
Assessing high-order effects in feature importance via predictability decomposition—0
Assessing Quality Estimation Models for Sentence-Level Prediction—0
Assessing Quantum Advantage for Gaussian Process Regression—0
Active Heteroscedastic Regression—0
Assessing the Prosody of Non-Native Speakers of English: Measures and Feature Sets—0
Assessing univariate and bivariate risks of late-frost and drought using vine copulas: A historical study for Bavaria—0
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression—0
Approximation Bounds for Recurrent Neural Networks with Application to Regression—0
Approximation bounds for norm constrained neural networks with applications to regression and GANs—0
A Gaussian Process-based Price-Amount Curve Construction for Demand Response Provided by Internet Data Centers—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