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ORCID: https://orcid.org/0000-0003-0652-9872
(2007).
Exact Bayesian Network Learning in estimation of distribution
algorithms.
En: "IEEE Congress on Evolutionary Computation (CEC 2007)", 25-28 Sep 2007, Singapur. ISBN 978-1-4244-1339-3. pp. 1051-1058.
https://doi.org/10.1109/CEC.2007.4424586.
| Título: | Exact Bayesian Network Learning in estimation of distribution algorithms |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | IEEE Congress on Evolutionary Computation (CEC 2007) |
| Fechas del Evento: | 25-28 Sep 2007 |
| Lugar del Evento: | Singapur |
| Título del Libro: | Proceedings of the IEEE Congress on Evolutionary Computation: CEC 2007 |
| Fecha: | 2007 |
| ISBN: | 978-1-4244-1339-3 |
| Volumen: | 3 |
| Materias: | |
| ODS: | |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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This paper introduces exact learning of Bayesian networks in estimation of distribution algorithms. The estimation of Bayesian network algorithm (EBNA) is used to analyse the impact of learning the optimal (exact) structure in the search. By applying recently introduced methods that allow learning optimal Bayesian networks, we investigate two important issues in EDAs. First, we analyze the question of whether learning more accurate (exact) models of the dependencies implies a better performance of EDAs. Second, we are able to study the way in which the problem structure is translated in to the probabilistic model when exact learning is accomplished.
| ID de Registro: | 74235 |
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| Identificador DC: | https://oa.upm.es/74235/ |
| Identificador OAI: | oai:oa.upm.es:74235 |
| Identificador DOI: | 10.1109/CEC.2007.4424586 |
| URL Oficial: | https://ieeexplore.ieee.org/document/4424586 |
| Depositado por: | Biblioteca Facultad de Informatica |
| Depositado el: | 19 Jun 2023 08:24 |
| Ultima Modificación: | 20 Mar 2024 18:37 |
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