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regression

Papers

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Showing 1101–1150 of 9424 papers

TitleStatusHype
Environment Invariant Linear Least SquaresCode0
Adversarial Regression with Multiple LearnersCode0
EOLO: Embedded Object Segmentation only Look OnceCode0
ETran: Energy-Based Transferability EstimationCode0
Probabilistic Traffic Forecasting with Dynamic RegressionCode0
Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive KernelsCode0
Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-raysCode0
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel MethodsCode0
Enhancing naive classifier for positive unlabeled data based on logistic regression approachCode0
Adversarial Regression Learning for Bone Age EstimationCode0
EnergyStar++: Towards more accurate and explanatory building energy benchmarkingCode0
A cautionary tale on fitting decision trees to data from additive models: generalization lower boundsCode0
Adversarial Regression. Generative Adversarial Networks for Non-Linear Regression: Theory and AssessmentCode0
End-to-End Probabilistic Inference for Nonstationary Audio AnalysisCode0
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired ConstraintsCode0
Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic RegressionCode0
An interpretable neural network-based non-proportional odds model for ordinal regressionCode0
Emotion Intensities in TweetsCode0
Adversarial Perturbation Intensity Achieving Chosen Intra-Technique Transferability Level for Logistic RegressionCode0
An Interpretable Adaptive Multiscale Attention Deep Neural Network for Tabular DataCode0
An Intermediate-level Attack Framework on The Basis of Linear RegressionCode0
Embarrassingly Parallel Inference for Gaussian ProcessesCode0
Emo2Vec: Learning Generalized Emotion Representation by Multi-task TrainingCode0
End-to-End Learning of Geometry and Context for Deep Stereo RegressionCode0
A hybrid ensemble method with negative correlation learning for regressionCode0
Fast Approximate Multi-output Gaussian ProcessesCode0
Inference for Rank-Rank RegressionsCode0
An integrated perspective of robustness in regression through the lens of the bias-variance trade-offCode0
An Integral Pose Regression System for the ECCV2018 PoseTrack ChallengeCode0
An innovative adaptive kriging approach for efficient binary classification of mechanical problemsCode0
An Infra-Structure for Performance Estimation and Experimental Comparison of Predictive Models in RCode0
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approachCode0
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank BanditsCode0
Adversarial Learning Semantic Volume for 2D/3D Face Shape Regression in the WildCode0
Efficient Exploration through Bayesian Deep Q-NetworksCode0
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in NeuroimagingCode0
Efficient online learning with kernels for adversarial large scale problemsCode0
Efficient energy consumption prediction model for a data analytic-enabled industry building in a smart cityCode0
Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified SamplingCode0
ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view ClusteringCode0
Efficient expectation propagation for posterior approximation in high-dimensional probit modelsCode0
Efficient Algorithms for Multidimensional Segmented RegressionCode0
Efficient computation of predictive probabilities in probit models via expectation propagationCode0
Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimizationCode0
An FEA surrogate model with Boundary Oriented Graph Embedding approachCode0
Effective Non-Random Extreme Learning MachineCode0
Model-based Reinforcement Learning for Continuous Control with Posterior SamplingCode0
Efficient Smoothed Concomitant Lasso Estimation for High Dimensional RegressionCode0
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic MethodsCode0
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression ModelCode0
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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