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Analysis of the behaviour of genetic algorithms when learning Bayesian network structure from data
Cita
Etxeberria Iriondo, Ramón, Larrañaga Múgica, Pedro María 
ORCID: https://orcid.org/0000-0003-0652-9872 and Picaza Acha, Juan Manuel
(1997).
Analysis of the behaviour of genetic algorithms when learning Bayesian network structure from data.
"Pattern Recognition Letters", v. 18
(n. 11-13);
pp. 1269-1273.
ISSN 0167-8655.
https://doi.org/10.1016/S0167-8655(97)00106-2.
ORCID: https://orcid.org/0000-0003-0652-9872 and Picaza Acha, Juan Manuel
(1997).
Analysis of the behaviour of genetic algorithms when learning Bayesian network structure from data.
"Pattern Recognition Letters", v. 18
(n. 11-13);
pp. 1269-1273.
ISSN 0167-8655.
https://doi.org/10.1016/S0167-8655(97)00106-2.
Descripción
| Título: | Analysis of the behaviour of genetic algorithms when learning Bayesian network structure from data |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Pattern Recognition Letters |
| Fecha: | Noviembre 1997 |
| ISSN: | 0167-8655 |
| Volumen: | 18 |
| Número: | 11-13 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Bayesian network, Structure learning, Genetic algorithm |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
In the last few years Bayesian networks have become a popular way of modelling probabilistic relationships among a set of variables for a given domain. For large domains, though, the construction of Bayesian networks is a hard task and the number of possible structures and the number of parameters for those structures can be huge. Trying to solve this, some researchers have studied how this construction can be automated. This work analyzes the behaviour of genetic algorithms when performing such automation. It is shown that the different ways in which genetic algorithms can tackle the problem influence the results.
Más información
| ID de Registro: | 73491 |
|---|---|
| Identificador DC: | https://oa.upm.es/73491/ |
| Identificador OAI: | oai:oa.upm.es:73491 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5477181 |
| Identificador DOI: | 10.1016/S0167-8655(97)00106-2 |
| URL Oficial: | https://www.sciencedirect.com/science/article/pii/... |
| Depositado por: | Biblioteca ETSI de Ingenieros Infomáticos |
| Depositado el: | 08 May 2023 06:58 |
| Ultima Modificación: | 08 Jun 2026 07:58 |
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