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Bayesian networks and decision graphs /

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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 to understand them, and when communicated to a computer, they c...

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Bibliographic Details
Main Author: Jensen, Finn V.
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York : Springer, [2001]
Series:Statistics for engineering and information science.
Subjects:
Bayesian statistical decision theory > Data processing.
Machine learning.
Neural networks (Computer science)
Decision making.
Methode van Bayes.
Besluitvorming.
Neurale netwerken.
Grafentheorie.
Bayes-Netz.
Bayes-Entscheidungstheorie.
Neuronales Netz.
Entscheidungsgraph.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Artificial Intelligence (incl. Robotics)
Probability and Statistics in Computer Science.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • I. A Practical Guide to Normative Systems. 1. Causal and Bayesian Networks. 2. Building Models. 3. Learning, Adaptation, and Tuning. 4. Decision Graphs
  • II. Algorithms for Normative Systems. 5. Belief Updating in Bayesian Networks. 6. Bayesian Network Analysis Tools. 7. Algorithms for Influence Diagrams.