Graphical Models
Christian (European Centre for Soft Computing) Borgelt, Matthias (University of Magdeburg, Germany) Steinbrecher, Rudolf R. (University of Magdeburg, Germany) Kruse
John Wiley & Sons Inc, 2009
143,50 €On orderDelivery: 2-3 weeks
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.
- ISBN-13
- 9780470722107
- ISBN-10
- 047072210X
- Publisher
- John Wiley & Sons Inc
- Year
- 2009
- Publication date
- 2009-08-07
- Pages
- 404
- Dimensions
- 161x241x28
- Weight
- 718