Fine-tuning restricted Boltzmann machines using quaternion-based flower pollination algorithm

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorPassos, Leandro Aparecido-
Autor(es): dc.creatorde Rosa, Gustavo Henrique-
Autor(es): dc.creatorRodrigues, Douglas-
Autor(es): dc.creatorPapa, João Paulo-
Data de aceite: dc.date.accessioned2025-08-21T21:44:21Z-
Data de disponibilização: dc.date.available2025-08-21T21:44:21Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2019-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/B978-0-12-819714-1.00019-1-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/309923-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/309923-
Descrição: dc.descriptionRecent works spotlighted machine learning as the technology of the new century. One can see its fantastic capability in solving problems throughout several domains, ranging from computer vision to natural language processing tasks. Nevertheless, there is still a burden when designing a new architecture, mainly due to its parameter setting up phase, which is often performed empirically. In the pursuit of mitigating this issue, optimization techniques have risen and taken the lead, being capable of providing feasible solutions to the problem. In this work, we introduce a quaternion-based flower pollination algorithm to fine-tune restricted Boltzmann machines. The effectiveness of the proposed approach is compared with several metaheuristic techniques, from naïve versions to quaternion-based ones. The experiments were carried out in three public datasets available in the literature and demonstrated promising results when compared with other techniques.-
Descrição: dc.descriptionSão Paulo State University Department of Computing-
Descrição: dc.descriptionSão Paulo State University Department of Computing-
Formato: dc.format111-133-
Idioma: dc.languageen-
Relação: dc.relationNature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectflower pollination algorithm-
Palavras-chave: dc.subjectmetaheuristic optimization-
Palavras-chave: dc.subjectquaternionic hypercomplex representation-
Palavras-chave: dc.subjectrestricted Boltzmann machine-
Título: dc.titleFine-tuning restricted Boltzmann machines using quaternion-based flower pollination algorithm-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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