Application of the method of maximum entropy in the mean to classification problems

In this note we propose an application of the method of maximum entropy in the mean to solve a class of inverse problems comprising classification problems and feasibility problems appearing in optimization. Such problems may be thought of as linear inverse problems with convex constraints imposed o...

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Autores:
Gzyl, Henryk
ter Horst, Enrique
Molina, Germán
Tipo de recurso:
Article of investigation
Fecha de publicación:
2015
Institución:
Colegio de Estudios Superiores de Administración
Repositorio:
Repositorio CESA
Idioma:
eng
OAI Identifier:
oai:repository.cesa.edu.co:10726/5118
Acceso en línea:
http://hdl.handle.net/10726/5118
https://doi.org/10.1016/j.physa.2015.05.105
Palabra clave:
Maximum entropy in the mean
Classification problems
Credit scoring
Linear inverse problems
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License
Acceso Restringido
id CESA2_41860899a46cc88a0e44b32fe3fa7453
oai_identifier_str oai:repository.cesa.edu.co:10726/5118
network_acronym_str CESA2
network_name_str Repositorio CESA
repository_id_str
spelling Gzyl, Henryk169316a4-12f8-4afb-8213-5a74cbb8f41a600ter Horst, Enriquebb497a43-c019-48d2-8bff-b5b9172cf707600Molina, Germán1fa4e4bc-5890-49a2-aa16-7f5220145ef8600ter Horst, Enrique [0000-0001-5153-1475]Molina, Germán [0000-0003-4693-6907]Gzyl, Henryk [6701665186]ter Horst, Enrique [25655619900]Molina, Germán [15728099800]2023-06-21T22:23:10Z2023-06-21T22:23:10Z2015-11-010378-4371http://hdl.handle.net/10726/5118instname:Colegio de Estudios Superiores de Administración – CESAreponame:Biblioteca Digital – CESArepourl:https://repository.cesa.edu.co/1873-2119https://doi.org/10.1016/j.physa.2015.05.105engElsevier BVApplication of the method of maximum entropy in the mean to classification problemsarticlehttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_71e4c1898caa6e32Acceso Restringidohttp://vocabularies.coar-repositories.org/access_rights/c_16ec/http://purl.org/coar/access_right/c_16ecIn this note we propose an application of the method of maximum entropy in the mean to solve a class of inverse problems comprising classification problems and feasibility problems appearing in optimization. Such problems may be thought of as linear inverse problems with convex constraints imposed on the solution as well as on the data. The method of maximum entropy in the mean proves to be a very useful tool to deal with this type of problems.https://orcid.org/0000-0001-5153-1475https://orcid.org/0000-0003-4693-6907https://www.scopus.com/authid/detail.uri?authorId=6701665186https://www.scopus.com/authid/detail.uri?authorId=25655619900https://www.scopus.com/authid/detail.uri?authorId=15728099800437101108Physica A: Statistical Mechanics and its ApplicationsMaximum entropy in the meanClassification problemsCredit scoringLinear inverse problems10726/5118oai:repository.cesa.edu.co:10726/51182023-09-29 10:39:28.979metadata only accessBiblioteca Digital - CESAbiblioteca@cesa.edu.co
dc.title.eng.fl_str_mv Application of the method of maximum entropy in the mean to classification problems
title Application of the method of maximum entropy in the mean to classification problems
spellingShingle Application of the method of maximum entropy in the mean to classification problems
Maximum entropy in the mean
Classification problems
Credit scoring
Linear inverse problems
title_short Application of the method of maximum entropy in the mean to classification problems
title_full Application of the method of maximum entropy in the mean to classification problems
title_fullStr Application of the method of maximum entropy in the mean to classification problems
title_full_unstemmed Application of the method of maximum entropy in the mean to classification problems
title_sort Application of the method of maximum entropy in the mean to classification problems
dc.creator.fl_str_mv Gzyl, Henryk
ter Horst, Enrique
Molina, Germán
dc.contributor.author.spa.fl_str_mv Gzyl, Henryk
ter Horst, Enrique
Molina, Germán
dc.contributor.orcid.none.fl_str_mv ter Horst, Enrique [0000-0001-5153-1475]
Molina, Germán [0000-0003-4693-6907]
dc.contributor.scopus.none.fl_str_mv Gzyl, Henryk [6701665186]
ter Horst, Enrique [25655619900]
Molina, Germán [15728099800]
dc.subject.proposal.none.fl_str_mv Maximum entropy in the mean
Classification problems
Credit scoring
Linear inverse problems
topic Maximum entropy in the mean
Classification problems
Credit scoring
Linear inverse problems
description In this note we propose an application of the method of maximum entropy in the mean to solve a class of inverse problems comprising classification problems and feasibility problems appearing in optimization. Such problems may be thought of as linear inverse problems with convex constraints imposed on the solution as well as on the data. The method of maximum entropy in the mean proves to be a very useful tool to deal with this type of problems.
publishDate 2015
dc.date.issued.none.fl_str_mv 2015-11-01
dc.date.accessioned.none.fl_str_mv 2023-06-21T22:23:10Z
dc.date.available.none.fl_str_mv 2023-06-21T22:23:10Z
dc.type.none.fl_str_mv article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.coar.none.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
dc.type.redcol.none.fl_str_mv http://purl.org/redcol/resource_type/ART
dc.type.coarversion.none.fl_str_mv http://purl.org/coar/version/c_71e4c1898caa6e32
format http://purl.org/coar/resource_type/c_2df8fbb1
dc.identifier.issn.none.fl_str_mv 0378-4371
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10726/5118
dc.identifier.instname.none.fl_str_mv instname:Colegio de Estudios Superiores de Administración – CESA
dc.identifier.reponame.none.fl_str_mv reponame:Biblioteca Digital – CESA
dc.identifier.repourl.none.fl_str_mv repourl:https://repository.cesa.edu.co/
dc.identifier.eissn.none.fl_str_mv 1873-2119
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.physa.2015.05.105
identifier_str_mv 0378-4371
instname:Colegio de Estudios Superiores de Administración – CESA
reponame:Biblioteca Digital – CESA
repourl:https://repository.cesa.edu.co/
1873-2119
url http://hdl.handle.net/10726/5118
https://doi.org/10.1016/j.physa.2015.05.105
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.citationvolume.none.fl_str_mv 437
dc.relation.citationstartpage.none.fl_str_mv 101
dc.relation.citationendpage.none.fl_str_mv 108
dc.relation.ispartofjournal.none.fl_str_mv Physica A: Statistical Mechanics and its Applications
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.local.none.fl_str_mv Acceso Restringido
dc.rights.coar.none.fl_str_mv http://vocabularies.coar-repositories.org/access_rights/c_16ec/
rights_invalid_str_mv Acceso Restringido
http://vocabularies.coar-repositories.org/access_rights/c_16ec/
http://purl.org/coar/access_right/c_16ec
dc.publisher.none.fl_str_mv Elsevier BV
publisher.none.fl_str_mv Elsevier BV
institution Colegio de Estudios Superiores de Administración
repository.name.fl_str_mv Biblioteca Digital - CESA
repository.mail.fl_str_mv biblioteca@cesa.edu.co
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