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regression

Papers

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Showing 2901–2950 of 9424 papers

TitleStatusHype
Efficient Multiple Incremental Computation for Kernel Ridge Regression with Bayesian Uncertainty Modeling—0
Efficient Multiscale Gaussian Process Regression using Hierarchical Clustering—0
A unifying approach for doubly-robust _1 regularized estimation of causal contrasts—0
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction—0
Block stochastic gradient iteration for convex and nonconvex optimization—0
Efficient Optimization Algorithms for Linear Adversarial Training—0
Efficient Optimization for Sparse Gaussian Process Regression—0
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method—0
Efficient Path Algorithms for Clustered Lasso and OSCAR—0
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation—0
Efficient Regression in Metric Spaces via Approximate Lipschitz Extension—0
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data—0
Efficient Regularized Piecewise-Linear Regression Trees—0
Efficient Regularized Regression for Variable Selection with L0 Penalty—0
Deep Learning Regression of VLSI Plasma Etch Metrology—0
Efficient Sampling for Gaussian Process Inference using Control Variables—0
Efficient semi-supervised inference for logistic regression under case-control studies—0
Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces—0
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation—0
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy—0
Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering—0
Efficient Strongly Polynomial Algorithms for Quantile Regression—0
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation—0
Efficient Symmetric Norm Regression via Linear Sketching—0
Efficient Tensor Kernel methods for sparse regression—0
Boosted Histogram Transform for Regression—0
A Unified Weight Learning and Low-Rank Regression Model for Robust Complex Error Modeling—0
A machine learning-based framework for high resolution mapping of PM2.5 in Tehran, Iran, using MAIAC AOD data—0
EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party—0
Deep Learning Models to Predict Pediatric Asthma Emergency Department Visits—0
EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets—0
Elastic-net Regularized High-dimensional Negative Binomial Regression: Consistency and Weak Signals Detection—0
Electoral David vs Goliath: How does the Spatial Concentration of Electors affect District-based Elections?—0
Electricity Demand Forecasting with Hybrid Statistical and Machine Learning Algorithms: Case Study of Ukraine—0
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?—0
Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression—0
Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory—0
Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis—0
Electrophysiological indicators of gesture perception—0
Elite Bases Regression: A Real-time Algorithm for Symbolic Regression—0
_1-regression with Heavy-tailed Distributions—0
_1-regression with Heavy-tailed Distributions—0
A unified spectra analysis workflow for the assessment of microbial contamination of ready to eat green salads: Comparative study and application of non-invasive sensors—0
Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and Occlusion—0
Ellipse Regression with Predicted Uncertainties for Accurate Multi-View 3D Object Estimation—0
_p-Regression in the Arbitrary Partition Model of Communication—0
ELM Ridge Regression Boosting—0
Boost-R: Gradient Boosted Trees for Recurrence Data—0
Deep learning from strongly mixing observations: Sparse-penalized regularization and minimax optimality—0
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification—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