A Model for Feature Selection with Binary Particle Swarm Optimisation and Synthetic Features
Recognising patterns and inferring nonlinearities between data that are seemingly random and stochastic in nature is one of the strong suites of machine learning models. Given a set of features, the ability to distinguish between useful features and seemingly useless features, and thereafter extract...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2024-07-01
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| Serie: | AI |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2673-2688/5/3/60 |
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