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Bayesian Networks and Decision Graphs

Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem domains with inherent uncertainty, and from a computational perspective they support efficient algor...

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Main Authors: Nielsen, Thomas Dyhre. (Author, http://id.loc.gov/vocabulary/relators/aut), VERNER JENSEN, FINN. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2007.
Edition:2nd ed. 2007.
Series:Information Science and Statistics,
Subjects:
Plant science.
Botany.
Probabilities.
Mathematical statistics.
Artificial intelligence.
Statistics .
Plant Sciences.
Probability Theory and Stochastic Processes.
Probability and Statistics in Computer Science.
Artificial Intelligence.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Online Access:https://doi.org/10.1007/978-0-387-68282-2

Internet

https://doi.org/10.1007/978-0-387-68282-2

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