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regression

Papers

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Showing 2251–2300 of 9424 papers

TitleStatusHype
Random neural networks for rough volatility—0
Estimation and Inference in Threshold Predictive Regression Models with Locally Explosive Regressors—0
Improving Rating Prediction in Multi-Criteria Recommender Systems via a Collective Factor ModelCode0
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression—0
Activation Functions Not To Active: A Plausible Theory on Interpreting Neural Networks—0
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression—0
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression—0
EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations—0
Data-Driven Subgroup Identification for Linear RegressionCode0
Enhancing Supply Chain Resilience: A Machine Learning Approach for Predicting Product Availability Dates Under Disruption—0
A feature selection method based on Shapley values robust to concept shift in regressionCode0
The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests—0
Augmented balancing weights as linear regression—0
A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB ImageCode1
TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regression—0
Multi-Task Learning Regression via Convex Clustering—0
Learning battery model parameter dynamics from data with recursive Gaussian process regression—0
Regression with Sensor Data Containing Incomplete Observations—0
Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization—0
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression—0
Positive definite nonparametric regression using an evolutionary algorithm with application to covariance function estimationCode0
Theory of Posterior Concentration for Generalized Bayesian Additive Regression Trees—0
Quantum Gaussian Process Regression for Bayesian Optimization—0
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier—0
Performance Evaluation of Regression Models in Predicting the Cost of Medical Insurance—0
On the Soundness of XAI in Prognostics and Health Management (PHM)Code0
Quantum Machine Learning Approach for the Prediction of Surface Roughness in Additive Manufactured Specimens—0
Estimation of sparse linear regression coefficients under L-subexponential covariates—0
Sparse Private LASSO Logistic Regression—0
Robust, randomized preconditioning for kernel ridge regressionCode0
Dependence of Physiochemical Features on Marine Chlorophyll Analysis with Learning Techniques—0
Quantile Extreme Gradient Boosting for Uncertainty Quantification—0
Stochastic Cell Transmission Models of Traffic Networks—0
Automatically identifying ordinary differential equations from dataCode1
Optimal Kernel for Kernel-Based Modal Statistical Methods—0
Optimality of Robust Online Learning—0
Attention Scheme Inspired Softmax Regression—0
Controllable Neural Symbolic Regression—0
Knowledge Distillation Under Ideal Joint Classifier Assumption—0
Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory—0
The Adaptive τ-Lasso: Robustness and Oracle Properties—0
Differentiable Genetic Programming for High-dimensional Symbolic Regression—0
You Only Need Two Detectors to Achieve Multi-Modal 3D Multi-Object TrackingCode1
Adjustment with Many Regressors Under Covariate-Adaptive Randomizations—0
Analysis of Interpolating Regression Models and the Double Descent Phenomenon—0
Toward Auto-evaluation with Confidence-based Category Relation-aware Regression—0
Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings—0
Recursive Joint Attention for Audio-Visual Fusion in Regression based Emotion RecognitionCode1
A comparison between Recurrent Neural Networks and classical machine learning approaches In Laser induced breakdown spectroscopy—0
Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling—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