Active Sampling over Graphs for Bayesian Reconstruction with Gaussian Ensembles

Author:

Polyzos Konstantinos D.1,Lu Qin1,Giannakis Georgios B.1

Affiliation:

1. University of Minnesota,Department of Electrical and Computer Engineering,USA

Funder

NSF

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Active labeling for online ensemble learning;2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM);2024-07-08

2. Bayesian Self-Supervised Learning Using Local and Global Graph Information;2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP);2023-12-10

3. Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

4. Graph-guided Gaussian Process-based Diagnosis of CVD Severity with Uncertainty Measures;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

5. Gaussian Process Dynamical Modeling for Adaptive Inference Over Graphs;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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