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regression

Papers

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Showing 3851–3900 of 9424 papers

TitleStatusHype
COMBATANT@TamilNLP-ACL2022: Fine-grained Categorization of Abusive Comments using Logistic Regression—0
CMCL 2022 Shared Task on Multilingual and Crosslingual Prediction of Human Reading Behavior—0
Ridgeless Regression with Random FeaturesCode0
HkAmsters at CMCL 2022 Shared Task: Predicting Eye-Tracking Data from a Gradient Boosting Framework with Linguistic Features—0
Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models—0
Deep vs. Shallow Learning: A Benchmark Study in Low Magnitude Earthquake Detection—0
SOA_NLP@LT-EDI-ACL2022: An Ensemble Model for Hope Speech Detection from YouTube Comments—0
Learning Localization-aware Target Confidence for Siamese Visual Tracking—0
The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models—0
A study of tree-based methods and their combination—0
Taylor Genetic Programming for Symbolic Regression—0
Probabilistic Models for Manufacturing Lead Times—0
An Explainable Regression Framework for Predicting Remaining Useful Life of Machines—0
Neighbor-Based Optimized Logistic Regression Machine Learning Model For Electric Vehicle Occupancy Detection—0
Impulse response estimation via flexible local projections—0
Asymptotic Inference for Infinitely Imbalanced Logistic Regression—0
A PAC-Bayes oracle inequality for sparse neural networks—0
Forecasting foreign exchange rates with regression networks tuned by Bayesian optimization—0
Coefficient Mutation in the Gene-pool Optimal Mixing Evolutionary Algorithm for Symbolic Regression—0
ISTRBoost: Importance Sampling Transfer Regression using Boosting—0
The Galactic 3D large-scale dust distribution via Gaussian process regression on spherical coordinates—0
Transformation-Interaction-Rational Representation for Symbolic RegressionCode0
Predicting Sleeping Quality using Convolutional Neural Networks—0
Local Gaussian process extrapolation for BART models with applications to causal inference—0
Double Machine Learning Methods for Estimating Average Treatment Effects: A Comparative StudyCode0
Exploring Hidden Semantics in Neural Networks with Symbolic Regression—0
Error-in-variables modelling for operator learning—0
Inverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion—0
Distributed Nonparametric Estimation under Communication Constraints—0
Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space—0
Ordinal-ResLogit: Interpretable Deep Residual Neural Networks for Ordered Choices—0
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?—0
NFT Appraisal Prediction: Utilizing Search Trends, Public Market Data, Linear Regression and Recurrent Neural Networks—0
Nonlinear and Nonseparable Structural Functions in Fuzzy Regression Discontinuity Designs—0
Optimal Learning Rates for Regularized Least-Squares with a Fourier Capacity Condition—0
FKreg: A MATLAB toolbox for fast Multivariate Kernel Regression—0
On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression—0
An interpretable machine learning approach for ferroalloys consumptions—0
SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard Example Focusing—0
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES VariantsCode0
Active Learning for Regression by Inverse Distance Weighting—0
Activation Regression for Continuous Domain Generalization with Applications to Crop ClassificationCode0
Hierarchical Embedded Bayesian Additive Regression Trees—0
Generalization Error Bounds for Multiclass Sparse Linear Classifiers—0
Sketching Algorithms and Lower Bounds for Ridge Regression—0
Deep Relation Learning for Regression and Its Application to Brain Age Estimation—0
Time series features for supporting hydrometeorological explorations and predictions in ungauged locations using large datasets—0
Overparameterized Linear Regression under Adversarial Attacks—0
Trajectory-based Algorithm Selection with Warm-starting—0
Robust online joint state/input/parameter estimation of linear systems—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