Bayesian Networks and Decision Graphs
Springer (Publisher)
Published on 31. May 2002
Book
Hardback
XV, 268 pages
978-0-387-95259-8 (ISBN)
Article exhausted; check for reprint
Description
Bayesian networks and decision graphs are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. Their strengths are two-sided. It is easy for humans to construct and understand them, and when communicated to a computer, they can easily be compiled. The book emphasizes both the human and the computer side. It gives a thorough introduction to Bayesian networks, decision trees and influence diagrams as well as algorithms and complexity issues.
More details
Series
Edition
1st ed. 2001. Corr. 2nd printing
Language
English
Place of publication
NY
United States
Target group
College/higher education
Professional and scholarly
Illustrations
4 s/w Abbildungen
184 illus.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
540 gr
ISBN-13
978-0-387-95259-8 (9780387952598)
DOI
10.1007/978-1-4757-3502-4
Schweitzer Classification
Other editions
New editions

Thomas Dyhre Nielsen | Finn Verner Jensen
Bayesian Networks and Decision Graphs
Book
06/2007
2nd Edition
Springer
€128.39
Shipment within 5-7 days
Content
Causal and Bayesian Networks * Part I: A Practical Guide to Normative Systems: Building Models * Learning, Adaptation, and Tuning * Decision Graphs * Part II: Algorithms for Normative Systems: Belief Updating in Bayesian Networks * Bayesian Network Analysis Tools * Algorithms for Influence Diagrams