Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics

Research article (Computer Physics Communications, 2023) · cited 28× · AI/ML
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Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics

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Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-of-bayesian-and-particle-swarm-algorithms-for-hyperparameter-optimisation-in-machine-learning-applications-in
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BibTeX @misc{4ortxyz_comparison-of-bayesian-and-particle-swarm-algorithms-for-hyperparameter-optimisation-in-machine-learning-applications-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-of-bayesian-and-particle-swarm-algorithms-for-hyperparameter-optimisation-in-machine-learning-applications-in}, note = {Accessed: 2026-05-24}}
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