Xiang, Yang ; Miller, Tristan (1999)
A Well-behaved Algorithm for Simulating Dependence Structures of Bayesian Networks.
In: International Journal of Applied Mathematics, 1 (8)
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Automatic generation of Bayesian network (BNs) structures (directed acyclic graphs) is an important step in experimental study of algorithms for inference in BNs and algorithms for learning BNs from data. Previously known simulation algorithms do not guarantee connectedness of generated structures or even successful genearation according to a user specification. We propose a simple, efficient and well-behaved algorithm for automatic generation of BN structures. The performance of the algorithm is demonstrated experimentally.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 1999 |
| Autor(en): | Xiang, Yang ; Miller, Tristan |
| Art des Eintrags: | Bibliographie |
| Titel: | A Well-behaved Algorithm for Simulating Dependence Structures of Bayesian Networks |
| Sprache: | Englisch |
| Publikationsjahr: | 1999 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | International Journal of Applied Mathematics |
| Jahrgang/Volume einer Zeitschrift: | 1 |
| (Heft-)Nummer: | 8 |
| URL / URN: | https://download.hrz.tu-darmstadt.de/media/FB20/Dekanat/Publ... |
| Kurzbeschreibung (Abstract): | Automatic generation of Bayesian network (BNs) structures (directed acyclic graphs) is an important step in experimental study of algorithms for inference in BNs and algorithms for learning BNs from data. Previously known simulation algorithms do not guarantee connectedness of generated structures or even successful genearation according to a user specification. We propose a simple, efficient and well-behaved algorithm for automatic generation of BN structures. The performance of the algorithm is demonstrated experimentally. |
| ID-Nummer: | TUD-CS-1999-0010 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 23 Aug 2018 12:02 |
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