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regression

Papers

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Showing 7551–7600 of 9424 papers

TitleStatusHype
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems—0
A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia—0
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment—0
A Neural Network Anomaly Detector Using the Random Cluster Model—0
An Evaluation of the EEG alpha-to-theta and theta-to-alpha band Ratios as Indexes of Mental Workload—0
An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers—0
An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas—0
A new adjusted maximum likelihood method for the Fay–Herriot small area model—0
A new ADMM algorithm for the Euclidean median and its application to robust patch regression—0
A New Algorithm for Tessellated Kernel Learning—0
Component-wise Adaptive Trimming For Robust Mixture Regression—0
A New Approach to Overcoming Zero Trade in Gravity Models to Avoid Indefinite Values in Linear Logarithmic Equations and Parameter Verification Using Machine Learning—0
A new asymmetric ε-insensitive pinball loss function based support vector quantile regression model—0
A new Bayesian ensemble of trees classifier for identifying multi-class labels in satellite images—0
A New Covariance Estimator for Sufficient Dimension Reduction in High-Dimensional and Undersized Sample Problems—0
A New Deterministic Technique for Symbolic Regression—0
A new Edge Detector Based on Parametric Surface Model: Regression Surface Descriptor—0
A new LDA formulation with covariates—0
A New Look to Three-Factor Fama-French Regression Model using Sample Innovations—0
A New Monte Carlo Based Algorithm for the Gaussian Process Classification Problem—0
A New Perspective on Boosting in Linear Regression via Subgradient Optimization and Relatives—0
A new recurrent neural network based predictive model for Faecal Calprotectin analysis: A retrospective study—0
A new similarity measure for covariate shift with applications to nonparametric regression—0
A New Test for Market Efficiency and Uncovered Interest Parity—0
A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms—0
An Exact Solution Path Algorithm for SLOPE and Quasi-Spherical OSCAR—0
An Experience Report on Regression-Free Repair of Deep Neural Network Model—0
An Experimental Comparison of Old and New Decision Tree Algorithms—0
An Experiment on Feature Selection using Logistic Regression—0
An Explainable Artificial Intelligence Framework for Quality-Aware IoE Service Delivery—0
An Explainable Regression Framework for Predicting Remaining Useful Life of Machines—0
An Explicit Scheme for Pathwise XVA Computations—0
An Extended Multi-Model Regression Approach for Compressive Strength Prediction and Optimization of a Concrete Mixture—0
Angular upsampling in diffusion MRI using contextual HemiHex sub-sampling in q-space—0
An Homotopy Algorithm for the Lasso with Online Observations—0
An implicit function learning approach for parametric modal regression—0
An improper estimator with optimal excess risk in misspecified density estimation and logistic regression—0
An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression—0
An Improved Approach for Prediction of Parkinson's Disease using Machine Learning Techniques—0
An Improved Composite Functional Gradient Learning by Wasserstein Regularization for Generative adversarial networks—0
An Improved Deep Belief Network Model for Road Safety Analyses—0
An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics—0
An Intelligent QoS Algorithm for Home Networks—0
An interpretable machine learning approach for ferroalloys consumptions—0
An Interpretable Machine Learning Approach in Predicting Inflation Using Payments System Data: A Case Study of Indonesia—0
An Interpretable Power System Transient Stability Assessment Method with Expert Guiding Neural-Regression-Tree—0
A data-based comparative review and AI-driven symbolic model for longitudinal dispersion coefficient in natural streams—0
An interpretation of the Brownian bridge as a physics-informed prior for the Poisson equation—0
An Interval-Valued Time Series Forecasting Scheme With Probability Distribution Features for Electric Power Generation Prediction—0
An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation—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