„Bayesian Learning“
Suchergebnisse
999 Treffer
-
Uncertainty-Based Performance Prediction and Optimization of High-Fluidization Cement Grouting Material Using Machine Learning and Bayesian Inference
-
Bayesian Physics Informed Neural Networks for real-world nonlinear dynamical systems
-
Generation of synthetic datasets using weighted bayesian association rules in clinical world
-
Black-box Bayesian adversarial attack with transferable priors
-
Bayesian Coherence Analysis for Microcircuit Structure Learning
-
A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS)
-
A stochastic variance-reduced coordinate descent algorithm for learning sparse Bayesian network from discrete high-dimensional data
-
Bayesian networks to predict storm impact using data from both monitoring networks and statistical learning methods
-
Sequential time-window learning with approximate Bayesian computation: an application to epidemic forecasting
-
Block sparse Bayesian learning-based prestack seismic inversion with the correlation of velocities and density
-
A fast weighted multi-view Bayesian learning scheme with deep learning for text-based image retrieval from unlabeled galleries
-
Bounds on the sample complexity of Bayesian learning using information theory and the VC dimension
-
Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension
-
Analysis of micro-seismicity in sea ice with deep learning and Bayesian inference: application to high-resolution thickness monitoring
-
Efficient one-dimensional turbomachinery design method based on transfer learning and Bayesian optimization
-
Active learning of reactive Bayesian force fields applied to heterogeneous catalysis dynamics of H/Pt
-
Bayesian network parameter learning using constraint-based data extension method
-
Model-Based Bayesian Inference, Learning, and Decision-Making with Applications in Communication Systems
-
Well-calibrated predictive uncertainty in medical imaging with Bayesian Deep Learning – Kalibrierte prädiktive Unsicherheit in der medizinischen Bildgebung mit Bayesian Deep Learning
-
BO-Aug: learning data augmentation policies via Bayesian optimization