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regression

Papers

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Showing 3401–3450 of 9424 papers

TitleStatusHype
Using Machine Learning to Evaluate Real Estate Prices Using Location Big Data—0
Variation-cognizant Probabilistic Power Flow Analysis via Multi-task Learning—0
Cluster-based Regression using Variational Inference and Applications in Financial Forecasting—0
COMBATANT@TamilNLP-ACL2022: Fine-grained Categorization of Abusive Comments using Logistic Regression—0
MUCS@DravidianLangTech@ACL2022: Ensemble of Logistic Regression Penalties to Identify Emotions in Tamil Text—0
CMCL 2022 Shared Task on Multilingual and Crosslingual Prediction of Human Reading Behavior—0
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
SOA_NLP@LT-EDI-ACL2022: An Ensemble Model for Hope Speech Detection from YouTube Comments—0
Ridgeless Regression with Random FeaturesCode0
Deep vs. Shallow Learning: A Benchmark Study in Low Magnitude Earthquake Detection—0
The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models—0
Learning Localization-aware Target Confidence for Siamese Visual Tracking—0
A study of tree-based methods and their combination—0
Taylor Genetic Programming for Symbolic Regression—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
Probabilistic Models for Manufacturing Lead Times—0
Asymptotic Inference for Infinitely Imbalanced Logistic Regression—0
Impulse response estimation via flexible local projections—0
ISTRBoost: Importance Sampling Transfer Regression using Boosting—0
Coefficient Mutation in the Gene-pool Optimal Mixing Evolutionary Algorithm for Symbolic Regression—0
Forecasting foreign exchange rates with regression networks tuned by Bayesian optimization—0
A PAC-Bayes oracle inequality for sparse neural networks—0
Transformation-Interaction-Rational Representation for Symbolic RegressionCode0
The Galactic 3D large-scale dust distribution via Gaussian process regression on spherical coordinates—0
Predicting Sleeping Quality using Convolutional Neural Networks—0
Double Machine Learning Methods for Estimating Average Treatment Effects: A Comparative StudyCode0
Local Gaussian process extrapolation for BART models with applications to causal inference—0
Exploring Hidden Semantics in Neural Networks with Symbolic Regression—0
Error-in-variables modelling for operator learning—0
End-to-end symbolic regression with transformersCode1
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
Deep transfer operator learning for partial differential equations under conditional shiftCode1
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?—0
Ordinal-ResLogit: Interpretable Deep Residual Neural Networks for Ordered Choices—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
On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression—0
FKreg: A MATLAB toolbox for fast Multivariate Kernel Regression—0
Optimal Learning Rates for Regularized Least-Squares with a Fourier Capacity Condition—0
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES VariantsCode0
An interpretable machine learning approach for ferroalloys consumptions—0
A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine LearningCode1
SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard Example Focusing—0
Active Learning for Regression by Inverse Distance Weighting—0
Hierarchical Embedded Bayesian Additive Regression Trees—0
Control-oriented meta-learningCode1
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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