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regression

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Showing 2551–2600 of 9424 papers

TitleStatusHype
Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning—0
Limit Theory under Network Dependence and Nonstationarity—0
Estimation of motion blur kernel parameters using regression convolutional neural networksCode0
Through their eyes: multi-subject Brain Decoding with simple alignment techniques—0
Beam Detection Based on Machine Learning Algorithms—0
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel—0
Mapping Computer Science Research: Trends, Influences, and Predictions—0
Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms—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
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
Dynamic Regression Discontinuity: An Event-Study Approach—0
Accuracy Improvement in Differentially Private Logistic Regression: A Pre-training Approach—0
Improving the Generalization Ability in Essay Coherence Evaluation through Monotonic Constraints—0
Testing for sparse idiosyncratic components in factor-augmented regression models—0
Nonparametric Linear Feature Learning in Regression Through RegularisationCode0
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions—0
Interpretable Ensemble Learning for Materials Property Prediction with Classical Interatomic Potentials: Carbon as an Example—0
Comparative analysis using classification methods versus early stage diabetes—0
NCART: Neural Classification and Regression Tree for Tabular Data—0
Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices—0
SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment ScansCode0
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation—0
SACReg: Scene-Agnostic Coordinate Regression for Visual Localization—0
Nonlinear Meta-Learning Can Guarantee Faster Rates—0
Conditional expectation network for SHAP—0
NeoSySPArtaN: A Neuro-Symbolic Spin Prediction Architecture for higher-order multipole waveforms from eccentric Binary Black Hole mergers using Numerical Relativity—0
On minimizing the training set fill distance in machine learning regressionCode0
Bayesian Linear Regression with Cauchy Prior and Its Application in Sparse MIMO Radar—0
The Connection Between R-Learning and Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects—0
Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models—0
Radar-Based Estimation of Human Body Orientation Using Respiratory Features and Hierarchical Regression Model—0
Regression-free Blind Image Quality Assessment with Content-Distortion Consistency—0
Ord2Seq: Regarding Ordinal Regression as Label Sequence PredictionCode0
Covariate shift in nonparametric regression with Markovian design—0
Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression—0
Towards Flexible Time-to-event Modeling: Optimizing Neural Networks via Rank RegressionCode0
RegExplainer: Generating Explanations for Graph Neural Networks in Regression TasksCode0
Learning Subjective Time-Series Data via Utopia Label Distribution Approximation—0
Efficient Strongly Polynomial Algorithms for Quantile Regression—0
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression—0
Extended Graph Assessment Metrics for Graph Neural Networks—0
Metal Oxide-based Gas Sensor Array for the VOCs Analysis in Complex Mixtures using Machine Learning—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