Hyperparameter Search for Machine Learning Algorithms for Optimizing the Computational Complexity
Hyperparameter Search for Machine Learning Algorithms for Optimizing the Computational Complexity
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Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
For machine learning algorithms, fine-tuning hyperparameters is a computational challenge due to the large size of the problem space. An efficient strategy for adjusting hyperparameters can be established with the use of the greedy search and Swarm intelligence algorithms. The Random Search and Grid Search optimization techniques show promise and e...
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Full title
Hyperparameter Search for Machine Learning Algorithms for Optimizing the Computational Complexity
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TN_cdi_proquest_journals_2779651902
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2779651902
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ISSN
2227-9717
E-ISSN
2227-9717
DOI
10.3390/pr11020349
