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regression

Papers

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Showing 7851–7900 of 9424 papers

TitleStatusHype
Asymptotic Optimism of Random-Design Linear and Kernel Regression Models—0
Asymptotic Properties for Bayesian Neural Network in Besov Space—0
Asymptotic properties of Bayesian inference in linear regression with a structural break—0
Asymptotic Risk of Overparameterized Likelihood Models: Double Descent Theory for Deep Neural Networks—0
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression—0
Asymptotics of Linear Regression with Linearly Dependent Data—0
Asymptotics of Non-Convex Generalized Linear Models in High-Dimensions: A proof of the replica formula—0
Asymptotics of Random Feature Regression Beyond the Linear Scaling Regime—0
Asymptotics of Ridge (less) Regression under General Source Condition—0
Asymptotics of Ridge Regression in Convolutional Models—0
Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models—0
Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document—0
Asynchronous Distributed Variational Gaussian Processes for Regression—0
AsynEIO: Asynchronous Monocular Event-Inertial Odometry Using Gaussian Process Regression—0
A Systematic IoU-Related Method: Beyond Simplified Regression for Better Localization—0
A temporal model for multiple sclerosis course evolution—0
A Theoretical Analysis of Fine-tuning with Linear Teachers—0
A Theoretical Analysis of Logistic Regression and Bayesian Classifiers—0
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression—0
A Theoretical Study of The Effects of Adversarial Attacks on Sparse Regression—0
A Theory of Hyperbolic Prototype Learning—0
A Three-Feature Model to Predict Colour Change Blindness—0
A Time Series Analysis-Based Stock Price Prediction Using Machine Learning and Deep Learning Models—0
Atmospheric Influence on the Path Loss at High Frequencies for Deployment of 5G Cellular Communication Networks—0
A Transfer Learning approach to Heatmap Regression for Action Unit intensity estimation—0
A Tree Architecture of LSTM Networks for Sequential Regression with Missing Data—0
A t-SNE Based Classification Approach to Compositional Microbiome Data—0
Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization—0
Attention and Self-Attention in Random Forests—0
Attention-based Random Forest and Contamination Model—0
Attention mechanisms for physiological signal deep learning: which attention should we take?—0
AttentionNet: Aggregating Weak Directions for Accurate Object Detection—0
Attention Scheme Inspired Softmax Regression—0
Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking—0
Attentive Sequential Neural Processes—0
Attribute Efficient Linear Regression with Data-Dependent Sampling—0
A Tunable Loss Function for Binary Classification—0
A Tutorial on Sparse Gaussian Processes and Variational Inference—0
At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?—0
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data—0
A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals—0
A Two-Step Longstaff Schwartz Monte Carlo Approach to Game Option Pricing—0
Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT—0
Audio-Visual Speech Enhancement and Separation by Utilizing Multi-Modal Self-Supervised Embeddings—0
Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network—0
Augmented balancing weights as linear regression—0
Augmented Regression Models using Neurochaos Learning—0
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity—0
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction—0
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty—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