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regression

Papers

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Showing 9101–9150 of 9424 papers

TitleStatusHype
EEG based stress analysis using rhythm specific spectral feature for video gameplay—0
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features—0
EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile Architectures—0
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships—0
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories—0
Effectiveness and Limitations of Statistical Spam Filters—0
Effectiveness of Detection-based and Regression-based Approaches for Estimating Mask-Wearing Ratio—0
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits—0
Effect of Stress Ulcers Prophylaxis, Sedative and Statin on Ventilator-Associated Pneumonia: A Retrospective Analysis Based on MIMIC Database—0
Effect of Using Regression on Class Confidence Scores in Sentiment Analysis of Twitter Data—0
Efficiency in Real-time Webcam Gaze Tracking—0
Efficiency of conformalized ridge regression—0
Efficient Algorithms and Lower Bounds for Robust Linear Regression—0
Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models—0
Efficient algorithms for multivariate shape-constrained convex regression problems—0
Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization—0
Efficient Algorithms for Outlier-Robust Regression—0
Efficient and Accurate Face Alignment by Global Regression and Cascaded Local Refinement—0
Efficient and Adaptive Linear Regression in Semi-Supervised Settings—0
Efficient and Consistent Robust Time Series Analysis—0
Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization—0
Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms—0
Efficient and Scalable Multi-task Regression on Massive Number of Tasks—0
Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses—0
Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU Networks : Function Approximation and Statistical Recovery—0
Efficient AUC Optimization for Information Ranking Applications—0
Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation—0
Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression—0
Efficient Contextual Bandits with Uninformed Feedback Graphs—0
Efficient coordinate-wise leading eigenvector computation—0
Covariate Adjustment in Stratified Experiments—0
Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm—0
Efficient Distributed Learning with Sparsity—0
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression—0
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination—0
Efficient Gaussian Neural Processes for Regression—0
Efficient hinging hyperplanes neural network and its application in nonlinear system identification—0
Efficient Image Set Classification using Linear Regression based Image Reconstruction—0
Efficient improper learning for online logistic regression—0
Efficient kernel surrogates for neural network-based regression—0
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression—0
Efficient Least Squares Monte-Carlo Technique for PFE/EE Calculations—0
Efficient Line Search Method Based on Regression and Uncertainty Quantification—0
Efficient List-Decodable Regression using Batches—0
Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data—0
Detecting Multiple Structural Breaks in Systems of Linear Regression Equations with Integrated and Stationary Regressors—0
Efficiently Using Second Order Information in Large l1 Regularization Problems—0
Efficient Methods for Online Multiclass Logistic Regression—0
Efficient Minimax Optimal Estimators For Multivariate Convex Regression—0
Efficient Multiple Incremental Computation for Kernel Ridge Regression with Bayesian Uncertainty Modeling—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