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regression

Papers

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Showing 7301–7350 of 9424 papers

TitleStatusHype
Adversarial robust weighted Huber regression—0
Adversarial Surrogate Losses for Ordinal Regression—0
Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression—0
Adversarial Training with Generated Data in High-Dimensional Regression: An Asymptotic Study—0
Adversarial Transfer of Pose Estimation Regression—0
Advertising Media and Target Audience Optimization via High-dimensional Bandits—0
A dynamic ordered logit model with fixed effects—0
A Family of Penalty Functions for Structured Sparsity—0
A Fast Algorithm Based on a Sylvester-like Equation for LS Regression with GMRF Prior—0
A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network—0
A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs—0
A Fast Method for Lasso and Logistic Lasso—0
A fast online cascaded regression algorithm for face alignment—0
A fast sound power prediction tool for genset noise using machine learning—0
A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process—0
Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression—0
Affine Invariant Ensemble Transform Methods to Improve Predictive Uncertainty in Neural Networks—0
Nested Nonparametric Instrumental Variable Regression—0
A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines—0
A first-stage representation for instrumental variables quantile regression—0
A First Step Towards Distribution Invariant Regression Metrics—0
A Flexible Framework for Hypothesis Testing in High-dimensions—0
A Flexible Rolling Regression Framework for Time-Varying SIRD models: Application to COVID-19—0
A Follow-the-Leader Strategy using Hierarchical Deep Neural Networks with Grouped Convolutions—0
A framework for benchmarking uncertainty in deep regression—0
A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS)—0
A framework for learned sparse sketches—0
A Framework for On-line Learning of Underwater Vehicles Dynamic Models—0
A Framework of Learning Through Empirical Gain Maximization—0
A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins—0
A Functional Analysis Approach to Symbolic Regression—0
A Functional Regression approach to Facial Landmark Tracking—0
A Fundamental Accuracy--Robustness Trade-off in Regression and Classification—0
A Fused Elastic Net Logistic Regression Model for Multi-Task Binary Classification—0
A Fuzzy-set-based Joint Distribution Adaptation Method for Regression and its Application to Online Damage Quantification for Structural Digital Twin—0
A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options—0
A Gaussian Process-based Price-Amount Curve Construction for Demand Response Provided by Internet Data Centers—0
A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking—0
A Gaussian Process Regression Model for Distribution Inputs—0
AGBoost: Attention-based Modification of Gradient Boosting Machine—0
A General Class of Transfer Learning Regression without Implementation Cost—0
A General Framework for Fair Regression—0
A General Framework for Fast Stagewise Algorithms—0
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression—0
A generalisation of the method of regression calibration and comparison with Bayesian and frequentist model averaging methods—0
A generalised OMP algorithm for feature selection with application to gene expression data—0
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery—0
A Generalized Framework for Predictive Clustering and Optimization—0
A Generalized Kernel Approach to Structured Output Learning—0
A Generalized Meta-loss function for regression and classification using privileged information—0
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All datasetsCalifornia Housing PricesConcrete Compressive StrengthMedical Cost Personal DatasetSynthetic: y = x * sin xADORECar_Price_Prediction

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