Using algorithmic information theory and stochastic modeling to improve classification and evolutionary computation: a dissertation submitted to the department of computer science of the Universidad Autonoma de Madrid in partial fulfillment of the requirements for the degree of doctor of philosophy

Tesis doctoral inédita. Universidad Autónoma de Madrid, Escuela Politécnica Superior, junio de 2007

Detalles Bibliográficos
Autor: Cebrián Ramos, Manuel
Tipo de recurso: tesis doctoral
Fecha de publicación:2007
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/2301
Acceso en línea:http://hdl.handle.net/10486/2301
Access Level:acceso abierto
Palabra clave:Informática
Algoritmos - Tesis doctorales
Información, Teoría de la - Tesis doctorales
Procesos estocásticos - Tesis doctorales
Computación evolutiva - Tesis doctorales
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spelling Using algorithmic information theory and stochastic modeling to improve classification and evolutionary computation: a dissertation submitted to the department of computer science of the Universidad Autonoma de Madrid in partial fulfillment of the requirements for the degree of doctor of philosophyCebrián Ramos, ManuelInformáticaAlgoritmos - Tesis doctoralesInformación, Teoría de la - Tesis doctoralesProcesos estocásticos - Tesis doctoralesComputación evolutiva - Tesis doctoralesTesis doctoral inédita. Universidad Autónoma de Madrid, Escuela Politécnica Superior, junio de 2007Alfonseca Moreno, ManuelDepartamento de Ingeniería InformáticaEscuela Politécnica Superior20072007-01-01doctoral thesishttp://purl.org/coar/resource_type/c_db06NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/doctoralThesisapplication/pdfhttp://hdl.handle.net/10486/2301reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/23012026-06-23T12:46:27Z
dc.title.none.fl_str_mv Using algorithmic information theory and stochastic modeling to improve classification and evolutionary computation: a dissertation submitted to the department of computer science of the Universidad Autonoma de Madrid in partial fulfillment of the requirements for the degree of doctor of philosophy
title Using algorithmic information theory and stochastic modeling to improve classification and evolutionary computation: a dissertation submitted to the department of computer science of the Universidad Autonoma de Madrid in partial fulfillment of the requirements for the degree of doctor of philosophy
spellingShingle Using algorithmic information theory and stochastic modeling to improve classification and evolutionary computation: a dissertation submitted to the department of computer science of the Universidad Autonoma de Madrid in partial fulfillment of the requirements for the degree of doctor of philosophy
Cebrián Ramos, Manuel
Informática
Algoritmos - Tesis doctorales
Información, Teoría de la - Tesis doctorales
Procesos estocásticos - Tesis doctorales
Computación evolutiva - Tesis doctorales
title_short Using algorithmic information theory and stochastic modeling to improve classification and evolutionary computation: a dissertation submitted to the department of computer science of the Universidad Autonoma de Madrid in partial fulfillment of the requirements for the degree of doctor of philosophy
title_full Using algorithmic information theory and stochastic modeling to improve classification and evolutionary computation: a dissertation submitted to the department of computer science of the Universidad Autonoma de Madrid in partial fulfillment of the requirements for the degree of doctor of philosophy
title_fullStr Using algorithmic information theory and stochastic modeling to improve classification and evolutionary computation: a dissertation submitted to the department of computer science of the Universidad Autonoma de Madrid in partial fulfillment of the requirements for the degree of doctor of philosophy
title_full_unstemmed Using algorithmic information theory and stochastic modeling to improve classification and evolutionary computation: a dissertation submitted to the department of computer science of the Universidad Autonoma de Madrid in partial fulfillment of the requirements for the degree of doctor of philosophy
title_sort Using algorithmic information theory and stochastic modeling to improve classification and evolutionary computation: a dissertation submitted to the department of computer science of the Universidad Autonoma de Madrid in partial fulfillment of the requirements for the degree of doctor of philosophy
dc.creator.none.fl_str_mv Cebrián Ramos, Manuel
author Cebrián Ramos, Manuel
author_facet Cebrián Ramos, Manuel
author_role author
dc.contributor.none.fl_str_mv Alfonseca Moreno, Manuel
Departamento de Ingeniería Informática
Escuela Politécnica Superior
dc.subject.none.fl_str_mv Informática
Algoritmos - Tesis doctorales
Información, Teoría de la - Tesis doctorales
Procesos estocásticos - Tesis doctorales
Computación evolutiva - Tesis doctorales
topic Informática
Algoritmos - Tesis doctorales
Información, Teoría de la - Tesis doctorales
Procesos estocásticos - Tesis doctorales
Computación evolutiva - Tesis doctorales
description Tesis doctoral inédita. Universidad Autónoma de Madrid, Escuela Politécnica Superior, junio de 2007
publishDate 2007
dc.date.none.fl_str_mv 2007
2007-01-01
dc.type.none.fl_str_mv doctoral thesis
http://purl.org/coar/resource_type/c_db06
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/2301
url http://hdl.handle.net/10486/2301
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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