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Estimation of small failure probabilities by partially Bayesian active learning line sampling: Theory and algorithm

Computer Methods in Applied Mechanics and Engineering, 2023
Chao Dang   +2 more
exaly  

Bayesian active learning for microscopy image segmentation

Data efficient learning algorithms have been the key to enable machine learning applications in domains where data is scarce. An example of such a domain are microscopy images, since in many cases the generation of such images and especially the annotation is costly. This thesis focuses on instance segmentation whereby a model learns from training data
openaire   +1 more source

Hyperspectral Image Segmentation Using a New Bayesian Approach With Active Learning

IEEE Transactions on Geoscience and Remote Sensing, 2011
Jun Li, Antonio J Plaza
exaly  

Semi-Bayesian active learning quadrature for estimating extremely low failure probabilities

Reliability Engineering and System Safety
Chao Dang, Michael Beer
exaly  

Partially Bayesian active learning cubature for structural reliability analysis with extremely small failure probabilities

Computer Methods in Applied Mechanics and Engineering
Chao Dang   +2 more
exaly  

Active learning using transductive sparse Bayesian regression

Information Sciences, 2016
Youngdoo Son, Jaewook Lee
exaly  

Bayesian active learning line sampling with log-normal process for rare-event probability estimation

Reliability Engineering and System Safety
Chao Dang   +2 more
exaly  

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