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regression

Papers

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Showing 2551–2575 of 9424 papers

TitleStatusHype
Estimation of motion blur kernel parameters using regression convolutional neural networksCode0
Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning—0
Limit Theory under Network Dependence and Nonstationarity—0
Through their eyes: multi-subject Brain Decoding with simple alignment techniques—0
Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms—0
Beam Detection Based on Machine Learning Algorithms—0
Mapping Computer Science Research: Trends, Influences, and Predictions—0
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel—0
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic RegressionCode0
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation—0
TMPNN: High-Order Polynomial Regression Based on Taylor Map FactorizationCode0
Towards Practical Robustness Auditing for Linear Regression—0
Tolerating Annotation Displacement in Dense Object Counting via Point Annotation Probability Map—0
HandMIM: Pose-Aware Self-Supervised Learning for 3D Hand Mesh Estimation—0
Noisy Interpolation Learning with Shallow Univariate ReLU Networks—0
One-step smoothing splines instrumental regression—0
Dynamic Regression Discontinuity: An Event-Study Approach—0
Application of Random Forest and Support Vector Machine for Investigation of Pressure Filtration Performance, a Zinc Plant Filter Cake Modeling—0
Bootstrapping Nonstationary Autoregressive Processes with Predictive Regression Models—0
Accuracy Improvement in Differentially Private Logistic Regression: A Pre-training Approach—0
Testing for sparse idiosyncratic components in factor-augmented regression models—0
Improving the Generalization Ability in Essay Coherence Evaluation through Monotonic Constraints—0
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions—0
Nonparametric Linear Feature Learning in Regression Through RegularisationCode0
Interpretable Ensemble Learning for Materials Property Prediction with Classical Interatomic Potentials: Carbon as an Example—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