Essays on Forecasting and Classification: Applications of Traditional Models and Machine Learning Algorithms

Detalhes bibliográficos
Data de Publicação: 2020
Tipo de documento: Tese
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9705065
id BRCRIS_3067b09107f4c1cf57e6595346ec1bf2
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Essays on Forecasting and Classification: Applications of Traditional Models and Machine Learning Algorithms
title Essays on Forecasting and Classification: Applications of Traditional Models and Machine Learning Algorithms
spellingShingle Essays on Forecasting and Classification: Applications of Traditional Models and Machine Learning Algorithms
neural networks.
Alisamento Exponencial.
title_short Essays on Forecasting and Classification: Applications of Traditional Models and Machine Learning Algorithms
title_full Essays on Forecasting and Classification: Applications of Traditional Models and Machine Learning Algorithms
title_fullStr Essays on Forecasting and Classification: Applications of Traditional Models and Machine Learning Algorithms
Essays on Forecasting and Classification: Applications of Traditional Models and Machine Learning Algorithms
title_full_unstemmed Essays on Forecasting and Classification: Applications of Traditional Models and Machine Learning Algorithms
Essays on Forecasting and Classification: Applications of Traditional Models and Machine Learning Algorithms
title_sort Essays on Forecasting and Classification: Applications of Traditional Models and Machine Learning Algorithms
topic neural networks.
Alisamento Exponencial.
publishDate 2020
format doctoralThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9705065
author_role author
dc.contributor.advisor1.fl_str_mv CARLOS ENRIQUE CARRASCO GUTIERREZ
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/0881893862643600
dc.publisher.none.fl_str_mv UNIVERSIDADE CATÓLICA DE BRASÍLIA
publisher.none.fl_str_mv UNIVERSIDADE CATÓLICA DE BRASÍLIA
instname_str UNIVERSIDADE CATÓLICA DE BRASÍLIA
dc.publisher.program.fl_str_mv ECONOMIA
dc.description.course.none.fl_txt_mv ECONOMIA
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESEssays on Forecasting and Classification: Applications of Traditional Models and Machine Learning AlgorithmsEssays on Forecasting and Classification: Applications of Traditional Models and Machine Learning AlgorithmsEssays on Forecasting and Classification: Applications of Traditional Models and Machine Learning AlgorithmsEssays on Forecasting and Classification: Applications of Traditional Models and Machine Learning AlgorithmsEssays on Forecasting and Classification: Applications of Traditional Models and Machine Learning AlgorithmsEssays on Forecasting and Classification: Applications of Traditional Models and Machine Learning AlgorithmsEssays on Forecasting and Classification: Applications of Traditional Models and Machine Learning Algorithmsneural networks.2020doctoralThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9705065authorCARLOS ENRIQUE CARRASCO GUTIERREZhttp://lattes.cnpq.br/0881893862643600UNIVERSIDADE CATÓLICA DE BRASÍLIAUNIVERSIDADE CATÓLICA DE BRASÍLIAUNIVERSIDADE CATÓLICA DE BRASÍLIAECONOMIAECONOMIAPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
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