Texto completo
Vista Previa |
PDF (Portable Document Format)
- Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (1MB) | Vista Previa |
Learning an L1-regularized Gaussian Bayesian Network in the Equivalence Class Space
Cita
Vidaurre Henche, Diego, Bielza Lozoya, María Concepción 
ORCID: https://orcid.org/0000-0001-7109-2668 and Larrañaga Múgica, Pedro María ORCID: https://orcid.org/0000-0003-0652-9872
(2010).
Learning an L1-regularized Gaussian Bayesian Network in the Equivalence Class Space.
"IEEE Transactions on Systems, Man and Cybernetics, Part B", v. 40
(n. 5);
pp. 1231-1242.
ISSN 1083-4419.
ORCID: https://orcid.org/0000-0001-7109-2668 and Larrañaga Múgica, Pedro María ORCID: https://orcid.org/0000-0003-0652-9872
(2010).
Learning an L1-regularized Gaussian Bayesian Network in the Equivalence Class Space.
"IEEE Transactions on Systems, Man and Cybernetics, Part B", v. 40
(n. 5);
pp. 1231-1242.
ISSN 1083-4419.
Descripción
| Título: | Learning an L1-regularized Gaussian Bayesian Network in the Equivalence Class Space |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | IEEE Transactions on Systems, Man and Cybernetics, Part B |
| Fecha: | Octubre 2010 |
| ISSN: | 1083-4419 |
| Volumen: | 40 |
| Número: | 5 |
| Materias: | |
| ODS: | |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
Learning the structure of a graphical model from data is a common task in a wide range of practical applications. In this paper, we focus on Gaussian Bayesian networks, i.e., on continuous data and directed acyclic graphs with a joint probability density of all variables given by a Gaussian. We propose to work in an equivalence class search space, specifically using the k-greedy equivalence search algorithm. This, combined with regularization techniques to guide the structure search, can learn sparse networks close to the one that generated the data. We provide results on some synthetic networks and on modeling the gene network of the two biological pathways regulating the biosynthesis of isoprenoids for the Arabidopsis thaliana plant
Más información
| ID de Registro: | 10999 |
|---|---|
| Identificador DC: | https://oa.upm.es/10999/ |
| Identificador OAI: | oai:oa.upm.es:10999 |
| URL Oficial: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 05 Jun 2012 08:46 |
| Ultima Modificación: | 13 Abr 2024 20:10 |
Acciones
- Estadísticas
- Exportar cita
- Editar (sólo personal del Archivo)
