Assessing irace for automated machine learning

Automated algorithm engineering tools have become an important asset for both academia and industry. In general, these tools are powered by a few, provenly effective algorithm configurators, among which is irace. In this proof-of-concept investigation, we assess the application of irace to the field...

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Autor principal: Vieira, Carlos Eduardo Morais
Outros Autores: Bezerra, Leonardo César Teonácio
Formato: bachelorThesis
Idioma:English
Publicado em: Universidade Federal do Rio Grande do Norte
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Endereço do item:https://repositorio.ufrn.br/handle/123456789/34163
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