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regression

Papers

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Showing 7801–7850 of 9424 papers

TitleStatusHype
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression—0
Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression—0
Asset Ownership Identification: Using machine learning to predict enterprise asset ownership—0
Association between dietary inflammatory index and Stroke in the US population: evidence from NHANES 1999–2018—0
Associations between urinary phthalate metabolite concentrations and rheumatoid arthritis in the U.S. adult population—0
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders—0
A Statistical Approach to Continuous Self-Calibrating Eye Gaze Tracking for Head-Mounted Virtual Reality Systems—0
A Statistical Learning Approach to Modal Regression—0
A Statistical Learning Assessment of Huber Regression—0
A Statistical Model for Stroke Outcome Prediction and Treatment Planning—0
A statistical perspective of sampling scores for linear regression—0
A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics—0
A Statistical Theory of Regularization-Based Continual Learning—0
A Stochastic Newton Algorithm for Distributed Convex Optimization—0
A Stochastic Quasi-Newton Method with Nesterov's Accelerated Gradient—0
A Stochastic Variance Reduced Nesterov's Accelerated Quasi-Newton Method—0
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction—0
A Structure-Aware Method for Direct Pose Estimation—0
A structured regression approach for evaluating model performance across intersectional subgroups—0
A Structure-Preserving Kernel Method for Learning Hamiltonian Systems—0
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression—0
A study of tree-based methods and their combination—0
A Study on Estimating the Next Failure Time of Compressor Equipment in an Offshore Plant—0
A Study on Modeling of Inputting Electrical Power of Ultra High Power Electric Furnace by using Fuzzy Rule and Regression Model—0
A Study on Monthly Marine Heatwave Forecasts in New Zealand: An Investigation of Imbalanced Regression Loss Functions with Neural Network Models—0
A study on speech enhancement using exponent-only floating point quantized neural network (EOFP-QNN)—0
A Support Vector Approach in Segmented Regression for Map-assisted Non-cooperative Source Localization—0
A ν- support vector quantile regression model with automatic accuracy control—0
A support vector regression-based multi-fidelity surrogate model—0
A survey and taxonomy of loss functions in machine learning—0
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges—0
A Survey of Efficient Regression of General-Activity Human Poses from Depth Images—0
A Survey of Numerical Algorithms that can Solve the Lasso Problems—0
A Survey of Predictive Maintenance Methods: An Analysis of Prognostics via Classification and Regression—0
A Survey Of Regression Algorithms And Connections With Deep Learning—0
A Survey of Tuning Parameter Selection for High-dimensional Regression—0
A Survey on Deep Learning-based Gaze Direction Regression: Searching for the State-of-the-art—0
A Survey on Ordinal Regression: Applications, Advances and Prospects—0
A Symbolic Regression Method for Dynamic Modeling and Control of Quadrotor UAVs—0
Asymmetric kernel in Gaussian Processes for learning target variance—0
Asymmetric Random Projections—0
Asymptotically efficient adaptive identification under saturated output observation—0
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments—0
Asymptotic Confidence Regions for High-dimensional Structured Sparsity—0
Asymptotic Dynamics of Alternating Minimization for Bilinear Regression—0
Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models—0
Asymptotic errors for convex penalized linear regression beyond Gaussian matrices—0
Asymptotic Inference for Infinitely Imbalanced Logistic Regression—0
Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm—0
Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model—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