The Bayesian Optimization of CNN Hyperparameters Based on Multi-Threaded Gaussian Process Acceleration-Reference-Cited by-同舟云学术

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The Bayesian Optimization of CNN Hyperparameters Based on Multi-Threaded Gaussian Process Acceleration

Published:2024-05-10 Issue: Volume:77.1 Page:762-765
ISSN:
Container-title:2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE)
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Author:

Yang Hankun¹,Zhang Yanmin²,Liu Chao¹,Zhu Bowei³

Affiliation:

1. Yantai Research Institute of Harbin Engineering University,Yantai,China

2. Wuhan Second Ship Design and Research Institute,Hubei Key Laboratory of Marine Electromagnetic Detection and Control,Hubei,China

3. Beijing Institute of Astronautical Systems Engineering,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10652598/10652600/10653056.pdf?arnumber=10653056

Reference10 articles.

1. Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

2. Hyperparameter optimization of deep CNN classifier for plant species identification using artificial bee colony algorithm

3. Hyperparameter Search for Machine Learning Algorithms for Optimizing the Computational Complexity

4. Recent Advances in Bayesian Optimization

5. Bayesian optimization for chemical reactions;Jeff;Chimia,2023

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