Improving SVM-linear predictions using CART for example selection

Detalhes bibliográficos
Autor(a) principal: João M. Moreira
Data de Publicação: 2006
Outros Autores: Alípio M. Jorge, Carlos Soares, Jorge Freire de Sousa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/50012
Resumo: This paper describes the study on example selection in regression problems using mu-SVM (Support Vector Machine) linear as prediction algorithm. The motivation case is a study done on real data for a problem of bus trip time prediction. In this study we use three different training sets: all the examples, examples from past days similar to the day where prediction is needed, and examples selected by a CART regression tree. Then, we verify if the CART based example selection approach is appropriate on different regression data sets. The experimental results obtained are promising.
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spelling Improving SVM-linear predictions using CART for example selectionTecnologia dos transportes, Ciências da computação e da informaçãoTransport technology, Computer and information sciencesThis paper describes the study on example selection in regression problems using mu-SVM (Support Vector Machine) linear as prediction algorithm. The motivation case is a study done on real data for a problem of bus trip time prediction. In this study we use three different training sets: all the examples, examples from past days similar to the day where prediction is needed, and examples selected by a CART regression tree. Then, we verify if the CART based example selection approach is appropriate on different regression data sets. The experimental results obtained are promising.20062006-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/50012eng0302-974310.1007/11875604_70João M. MoreiraAlípio M. JorgeCarlos SoaresJorge Freire de Sousainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T16:12:22Zoai:repositorio-aberto.up.pt:10216/50012Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:38:58.498770Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Improving SVM-linear predictions using CART for example selection
title Improving SVM-linear predictions using CART for example selection
spellingShingle Improving SVM-linear predictions using CART for example selection
João M. Moreira
Tecnologia dos transportes, Ciências da computação e da informação
Transport technology, Computer and information sciences
title_short Improving SVM-linear predictions using CART for example selection
title_full Improving SVM-linear predictions using CART for example selection
title_fullStr Improving SVM-linear predictions using CART for example selection
title_full_unstemmed Improving SVM-linear predictions using CART for example selection
title_sort Improving SVM-linear predictions using CART for example selection
author João M. Moreira
author_facet João M. Moreira
Alípio M. Jorge
Carlos Soares
Jorge Freire de Sousa
author_role author
author2 Alípio M. Jorge
Carlos Soares
Jorge Freire de Sousa
author2_role author
author
author
dc.contributor.author.fl_str_mv João M. Moreira
Alípio M. Jorge
Carlos Soares
Jorge Freire de Sousa
dc.subject.por.fl_str_mv Tecnologia dos transportes, Ciências da computação e da informação
Transport technology, Computer and information sciences
topic Tecnologia dos transportes, Ciências da computação e da informação
Transport technology, Computer and information sciences
description This paper describes the study on example selection in regression problems using mu-SVM (Support Vector Machine) linear as prediction algorithm. The motivation case is a study done on real data for a problem of bus trip time prediction. In this study we use three different training sets: all the examples, examples from past days similar to the day where prediction is needed, and examples selected by a CART regression tree. Then, we verify if the CART based example selection approach is appropriate on different regression data sets. The experimental results obtained are promising.
publishDate 2006
dc.date.none.fl_str_mv 2006
2006-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/50012
url https://hdl.handle.net/10216/50012
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0302-9743
10.1007/11875604_70
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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