Bemærk: Kan ikke leveres før jul.
Forventes på lager: 07-08-2009
Provides a self-contained introduction to learning relational, probabilistic and possibilistic networks from data All basic concepts carefully explained and illustrated by examples throughout Contains background material including graphical representation, including Markov and Bayesian Networks. Includes a comprehensive bibliography.
| Forlag | John Wiley & Sons Inc |
| Forfattere | Christian (European Centre for Soft Computing) Borgelt, Matthias (University of Magdeburg Steinbrecher, Rudolf R. (University of Magdeburg Kruse |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgave | 2 ed |
| Udgivelsesdato | 07-08-2009 |
| Første udgivelsesår | 2009 |
| Serie | Wiley Series in Computational Statistics |
| Originalsprog | United States |
| Sideantal | 404 |
| Indbinding | Hardback |
| Forlag | John Wiley & Sons Inc |
| Sideoplysninger | 404 pages |
| Mål | 161 x 241 x 28 |
| ISBN-13 / EAN-13 | 9780470722107 |