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regression

Papers

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Showing 1051–1100 of 9424 papers

TitleStatusHype
Acquiring a Formality-Informed Lexical Resource for Style AnalysisCode0
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a ReviewCode0
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient KernelsCode0
Epsilon-Lexicase Selection for RegressionCode0
ERFit: Entropic Regression Fit Matlab Package, for Data-Driven System Identification of Underlying Dynamic EquationsCode0
EOLO: Embedded Object Segmentation only Look OnceCode0
Environment Invariant Linear Least SquaresCode0
Epistemic Uncertainty in Conformal Scores: A Unified ApproachCode0
Evaluation for Regression Analyses on Evolving Data StreamsCode0
A hybrid ensemble method with negative correlation learning for regressionCode0
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired ConstraintsCode0
Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive KernelsCode0
Enhancing naive classifier for positive unlabeled data based on logistic regression approachCode0
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel MethodsCode0
Probabilistic Traffic Forecasting with Dynamic RegressionCode0
An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest RadiographsCode0
EnergyStar++: Towards more accurate and explanatory building energy benchmarkingCode0
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty QuantificationCode0
An optimized pipeline for functional connectivity analysis in the rat brainCode0
Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic RegressionCode0
End-to-End Learning of Geometry and Context for Deep Stereo RegressionCode0
Emo2Vec: Learning Generalized Emotion Representation by Multi-task TrainingCode0
Electron Energy Regression in the CMS High-Granularity Calorimeter PrototypeCode0
Embarrassingly Parallel Inference for Gaussian ProcessesCode0
Emotion Intensities in TweetsCode0
End-to-End Probabilistic Inference for Nonstationary Audio AnalysisCode0
Ensembles of Probabilistic Regression TreesCode0
Evaluation of a novel GA-based methodology for model structure selection: The GA-PARSIMONYCode0
A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data StreamsCode0
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank BanditsCode0
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in NeuroimagingCode0
Adversarial Sign-Corrupted Isotonic RegressionCode0
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approachCode0
Efficient online learning with kernels for adversarial large scale problemsCode0
Efficient Exploration through Bayesian Deep Q-NetworksCode0
Efficient expectation propagation for posterior approximation in high-dimensional probit modelsCode0
A Convex Framework for Fair RegressionCode0
Model-based Reinforcement Learning for Continuous Control with Posterior SamplingCode0
Efficient Smoothed Concomitant Lasso Estimation for High Dimensional RegressionCode0
Efficient computation of predictive probabilities in probit models via expectation propagationCode0
Effective Non-Random Extreme Learning MachineCode0
Adversarial Robustness Certification for Bayesian Neural NetworksCode0
Efficient Algorithms for Multidimensional Segmented RegressionCode0
Efficient energy consumption prediction model for a data analytic-enabled industry building in a smart cityCode0
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic MethodsCode0
Adversarial Regression with Multiple LearnersCode0
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement LearningCode0
Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimizationCode0
Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified SamplingCode0
Efficient Truncated Linear Regression with Unknown Noise VarianceCode0
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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