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regression

Papers

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Showing 3001–3050 of 9424 papers

TitleStatusHype
Enhanced Convolutional Neural Tangent Kernels—0
Breaking the curse of dimensionality in regression—0
Enhanced Human-Robot Collaboration using Constrained Probabilistic Human-Motion Prediction—0
Enhancing Automated Essay Scoring Performance via Fine-tuning Pre-trained Language Models with Combination of Regression and Ranking—0
Enhancing Causal Discovery in Financial Networks with Piecewise Quantile Regression—0
Enhancing Classifier Conservativeness and Robustness by Polynomiality—0
Breast Cancer Diagnosis via Classification Algorithms—0
HawkEye: Advancing Robust Regression with Bounded, Smooth, and Insensitive Loss Function—0
Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution—0
A machine learning approach to the prediction of heat-transfer coefficients in micro-channels—0
Brewing Discontent: How U.S. Reciprocal Tariffs on Coffee Could Echo the Boston Tea Party—0
Enhancing LambdaMART Using Oblivious Trees—0
Enhancing Microgrid Performance Prediction with Attention-based Deep Learning Models—0
Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning—0
An Homotopy Algorithm for the Lasso with Online Observations—0
Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy—0
Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization—0
Enhancing Social Media Post Popularity Prediction with Visual Content—0
Adaptive observer of state variables of a nonlinear time varying system with unknown constant parameters—0
Enhancing Symbolic Regression and Universal Physics-Informed Neural Networks with Dimensional Analysis—0
Brute-Force Facial Landmark Analysis With A 140,000-Way Classifier—0
A brief note on understanding neural networks as Gaussian processes—0
Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data—0
A Unified Framework for Training Neural Networks—0
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays—0
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods—0
EnsembleIV: Creating Instrumental Variables from Ensemble Learners for Robust Statistical Inference—0
Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning—0
Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes—0
Ensemble learning for blending gridded satellite and gauge-measured precipitation data—0
A Unified Framework for Sparse Relaxed Regularized Regression: SR3—0
Ensemble Maximum Entropy Classification and Linear Regression for Author Age Prediction—0
Ensemble Method for Censored Demand Prediction—0
Ensemble Methods for Causal Effects in Panel Data Settings—0
A machine learning approach for efficient multi-dimensional integration—0
Ensemble Multi-task Gaussian Process Regression with Multiple Latent Processes—0
Ensemble Nystrom Method—0
Ensemble Regression Models for Software Development Effort Estimation: A Comparative Study—0
An Improved Approach for Prediction of Parkinson's Disease using Machine Learning Techniques—0
Entropic Regression DMD (ERDMD) Discovers Informative Sparse and Nonuniformly Time Delayed Models—0
Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing—0
Adversarial Networks for Camera Pose Regression and Refinement—0
Deep learning for prediction of population health costs—0
Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors—0
A Unified Dynamic Approach to Sparse Model Selection—0
Feature Selection from Differentially Private Correlations—0
Adaptive Multi-Task Lasso: with Application to eQTL Detection—0
Equivalence of Convergence Rates of Posterior Distributions and Bayes Estimators for Functions and Nonparametric Functionals—0
Equivalence of Kernel Machine Regression and Kernel Distance Covariance for Multidimensional Trait Association Studies—0
Deep Learning for Limit Order Books—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