Nature inspired optimization tools for SVMs - NIOTS

Support Vector Machines (SVMs) technique for achieving classifiers and regressors. However, to obtain models with high accuracy and low complexity, it is necessary to define the kernel parameters as well as the parameters of the training model, which are called hyperparameters. The challenge of defi...

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Detalles Bibliográficos
Autores principales: Santos, Carlos Eduardo da Silva, Coelho, Leandro dos Santos, Llanos, Carlos Humberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720899/
https://www.ncbi.nlm.nih.gov/pubmed/35004208
http://dx.doi.org/10.1016/j.mex.2021.101574

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720899/
https://www.ncbi.nlm.nih.gov/pubmed/35004208
http://dx.doi.org/10.1016/j.mex.2021.101574

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