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regression

Papers

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Showing 8951–9000 of 9424 papers

TitleStatusHype
Regression with Missing Data, a Comparison Study of TechniquesBased on Random ForestsCode0
Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural NetworksCode0
PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion RegressionCode0
Boosting Binary Optimization via Binary Classification: A Case Study of Job Shop SchedulingCode0
Boosting Algorithms for Delivery Time Prediction in Transportation LogisticsCode0
Penalised regression with multiple sources of prior effectsCode0
Sentiment Analysis of Yelp Reviews: A Comparison of Techniques and ModelsCode0
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression NetworksCode0
Sentiment Analysis on Financial News Headlines using Training Dataset AugmentationCode0
IGN : Implicit Generative NetworksCode0
Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurementsCode0
Mondrian Forests for Large-Scale Regression when Uncertainty MattersCode0
Statistical Mechanics of Support Vector RegressionCode0
IITK@LCP at SemEval 2021 Task 1: Classification for Lexical Complexity Regression TaskCode0
Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease PredictionCode0
Color Constancy Using CNNsCode0
Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral dataCode0
COLA: Decentralized Linear LearningCode0
Monocular Object Orientation Estimation using Riemannian Regression and Classification NetworksCode0
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRICode0
Separable Hamiltonian Neural NetworksCode0
Applying a Pre-trained Language Model to Spanish Twitter Humor PredictionCode0
Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease DiagnosisCode0
Tiny Obstacle Discovery by Occlusion-Aware Multilayer RegressionCode0
Image-level Regression for Uncertainty-aware Retinal Image SegmentationCode0
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial dataCode0
Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical RectificationCode0
Deterministic Gaussian Averaged Neural NetworksCode0
Imbalanced Regression Pipeline RecommendationCode0
MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series ForecastingCode0
IM-Context: In-Context Learning for Imbalanced Regression TasksCode0
More Data Can Hurt for Linear Regression: Sample-wise Double DescentCode0
Impact Assessment of Missing Data in Model Predictions for Earth Observation ApplicationsCode0
Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option PricingCode0
Co-data Learning for Bayesian Additive Regression TreesCode0
Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive VariablesCode0
Motion Prediction using Trajectory Sets and Self-Driving Domain KnowledgeCode0
Coarse-to-Fine Multi-Scene Pose Regression with TransformersCode0
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on GraphsCode0
TMPNN: High-Order Polynomial Regression Based on Taylor Map FactorizationCode0
Closed-Loop phase selection in EEG-TMS using Bayesian OptimizationCode0
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and PracticeCode0
Performance of Cross-Validated Targeted Maximum Likelihood EstimationCode0
Application of machine learning regression models to inverse eigenvalue problemsCode0
Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large pCode0
Implicit Bias of Gradient Descent for Mean Squared Error Regression with Two-Layer Wide Neural NetworksCode0
MSBoost: Using Model Selection with Multiple Base Estimators for Gradient BoostingCode0
Deterministic error bounds for kernel-based learning techniques under bounded noiseCode0
Nickell Bias in Panel Local Projection: Financial Crises Are Worse Than You ThinkCode0
Implicit Quantile Networks for Distributional Reinforcement LearningCode0
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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