Ponencia en Congreso: Prediction in health domain using Bayesian networks optimization based on induction learning techniques
dc.contributor.author | Felgaer, Pablo | |
dc.contributor.author | Britos, Paola Verónica | |
dc.contributor.author | García Martínez, Ramón | |
dc.date.accessioned | 2019-01-24T15:58:01Z | |
dc.date.available | 2019-01-24T15:58:01Z | |
dc.date.issued | 2006 | |
dc.description.abstract | "A Bayesian network is a directed acyclic graph in which each node represents a variable and each arc a probabilistic dependency; they are used to provide: a compact form to represent the knowledge and exible methods of reasoning. Obtaining it from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper we define an automatic learning method that optimizes the Bayesian networks applied to classification, using a hybrid method of learning that combines the advantages of the induction techniques of the decision trees (TDIDT-C4.5) with those of the Bayesian networks. The resulting method is applied to prediction in health domain." | en |
dc.identifier.issn | 0129-1831 | |
dc.identifier.uri | http://ri.itba.edu.ar/handle/123456789/1432 | |
dc.language.iso | en | en |
dc.relation | info:eu-repo/semantics/altIdentifier/doi/10.1142/S0129183106008558 | |
dc.subject | TEORIA BAYESIANA DE DECISIONES ESTADISTICAS | es |
dc.subject | APRENDIZAJE | es |
dc.title | Prediction in health domain using Bayesian networks optimization based on induction learning techniques | en |
dc.type | Ponencias en Congresos | es |
dc.type | info:eu-repo/semantics/acceptedVersion | |
dspace.entity.type | Ponencia en Congreso | |
itba.description.filiation | Fil: Felgaer, Pablo. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina. | |
itba.description.filiation | Fil: Britos, Paola Verónica. Instituto Tecnológico de Buenos Aires; Argentina. | |
itba.description.filiation | Fil: García Martínez, Ramón. Instituto Tecnológico de Buenos Aires; Argentina. |
Archivos
Bloque original
1 - 1 de 1
Cargando...
- Nombre:
- Felgaer et al. (2006).pdf
- Tamaño:
- 669.14 KB
- Formato:
- Adobe Portable Document Format
- Descripción:
- Ponencia_Felgaer
Bloque de licencias
1 - 1 de 1
No hay miniatura disponible
- Nombre:
- license.txt
- Tamaño:
- 1.6 KB
- Formato:
- Item-specific license agreed upon to submission
- Descripción: