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regression

Papers

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Showing 1201–1250 of 9424 papers

TitleStatusHype
Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive KernelsCode0
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty QuantificationCode0
End-to-End Probabilistic Inference for Nonstationary Audio AnalysisCode0
End-to-End Learning of Geometry and Context for Deep Stereo RegressionCode0
Adjusting Regression Models for Conditional Uncertainty CalibrationCode0
An ensemble meta-estimator to predict source code testabilityCode0
EnergyStar++: Towards more accurate and explanatory building energy benchmarkingCode0
Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic RegressionCode0
A block-sparse Tensor Train Format for sample-efficient high-dimensional Polynomial RegressionCode0
Emotion Intensities in TweetsCode0
Ensembles of Probabilistic Regression TreesCode0
Evaluation of a novel GA-based methodology for model structure selection: The GA-PARSIMONYCode0
Efficient Truncated Linear Regression with Unknown Noise VarianceCode0
Efficient online learning with kernels for adversarial large scale problemsCode0
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank BanditsCode0
Efficient Smoothed Concomitant Lasso Estimation for High Dimensional RegressionCode0
Electron Energy Regression in the CMS High-Granularity Calorimeter PrototypeCode0
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in NeuroimagingCode0
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approachCode0
An efficient projection neural network for _1-regularized logistic regressionCode0
Embarrassingly Parallel Inference for Gaussian ProcessesCode0
Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified SamplingCode0
Efficient energy consumption prediction model for a data analytic-enabled industry building in a smart cityCode0
Efficient expectation propagation for posterior approximation in high-dimensional probit modelsCode0
A comparison of some conformal quantile regression methodsCode0
Model-based Reinforcement Learning for Continuous Control with Posterior SamplingCode0
Effective Non-Random Extreme Learning MachineCode0
An Efficient and Effective Second-Order Training Algorithm for LSTM-based Adaptive LearningCode0
Efficient Algorithms for Multidimensional Segmented RegressionCode0
Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large pCode0
Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimizationCode0
Efficient computation of predictive probabilities in probit models via expectation propagationCode0
Efficient Exploration through Bayesian Deep Q-NetworksCode0
Emo2Vec: Learning Generalized Emotion Representation by Multi-task TrainingCode0
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression ModelCode0
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic MethodsCode0
Dynamic Network Quantile Regression ModelCode0
The Complexity of Dynamic Least-Squares RegressionCode0
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement LearningCode0
A Deterministic Streaming Sketch for Ridge RegressionCode0
Dynamic Bayesian Learning for Spatiotemporal Mechanistic ModelsCode0
Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) dataCode0
Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for PaleoceanographyCode0
Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and OversamplingCode0
Dynamic CoVaR Modeling and EstimationCode0
A Comparison of Machine Learning Algorithms Applied to American Legislature PolarizationCode0
Anchor Data AugmentationCode0
Dual Instrumental Variable RegressionCode0
A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark DetectionCode0
Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal RegressionCode0
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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