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regression

Papers

Showing 12511300 of 9424 papers

TitleStatusHype
Ensembles of Probabilistic Regression TreesCode0
Evaluation of Dataflow through layers of Deep Neural Networks in Classification and Regression ProblemsCode0
Efficient Truncated Linear Regression with Unknown Noise VarianceCode0
Efficient Smoothed Concomitant Lasso Estimation for High Dimensional RegressionCode0
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank BanditsCode0
Efficient online learning with kernels for adversarial large scale problemsCode0
A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide ImagesCode0
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
Electron Energy Regression in the CMS High-Granularity Calorimeter PrototypeCode0
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
Efficient computation of predictive probabilities in probit models via expectation propagationCode0
Model-based Reinforcement Learning for Continuous Control with Posterior SamplingCode0
Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimizationCode0
Effective Non-Random Extreme Learning MachineCode0
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic netCode0
Efficient Algorithms for Multidimensional Segmented RegressionCode0
Efficient Exploration through Bayesian Deep Q-NetworksCode0
Embarrassingly Parallel Inference for Gaussian ProcessesCode0
Additive Gaussian ProcessesCode0
The Complexity of Dynamic Least-Squares RegressionCode0
Additive Approximations in High Dimensional Nonparametric Regression via the SALSACode0
Dynamic Network Quantile Regression ModelCode0
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression ModelCode0
Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and OversamplingCode0
Dynamic Bayesian Learning for Spatiotemporal Mechanistic ModelsCode0
Dually Supervised Feature Pyramid for Object Detection and SegmentationCode0
Dual Instrumental Variable RegressionCode0
Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for PaleoceanographyCode0
Dynamic CoVaR Modeling and EstimationCode0
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic MethodsCode0
DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic RegressionCode0
Doubly Stochastic Variational Inference for Deep Gaussian ProcessesCode0
Domain Generalization by Functional RegressionCode0
Double Cross-fit Doubly Robust Estimators: Beyond Series RegressionCode0
DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous DataCode0
DL-Reg: A Deep Learning Regularization Technique using Linear RegressionCode0
DOLDA - a regularized supervised topic model for high-dimensional multi-class regressionCode0
DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic RegressionCode0
Distribution Regression with Sliced Wasserstein KernelsCode0
DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine LearningCode0
Distribution Regression in Duration Analysis: an Application to Unemployment SpellsCode0
Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression MethodCode0
Disturbing Target Values for Neural Network RegularizationCode0
Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal RegressionCode0
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear RegressionCode0
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
A Benchmarking Dataset with 2440 Organic Molecules for Volume Distribution at Steady StateCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79Unverified
2Baseline RegressionR2 Score0.58Unverified
3Mimic / SurrogateR2 Score0.57Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86Unverified
2Baseline RegressionR2 Score0.59Unverified
3Mimic / SurrogateR2 Score0.58Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87Unverified
2Baseline RegressionR2 Score0.78Unverified
3Mimic / SurrogateR2 Score0.78Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98Unverified
2Baseline RegressionR2 Score-0.01Unverified
3Mimic / SurrogateR2 Score-0.01Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93Unverified
2RF-ToxPrintchemical macro-average RMSE0.85Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84Unverified