Abstract
Bayesian networks are graphical models that capture the probability dependency relationships among random variables. The probability dependency relationships are encoded as the likelihoods of event associations in terms of conditional probabilities.
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© 2004 Springer Science+Business Media New York
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Sy, B.K., Gupta, A.K. (2004). Bayesian Nets & Model Generation. In: Information-Statistical Data Mining. The Kluwer International Series in Engineering and Computer Science, vol 757. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-9001-3_10
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DOI: https://doi.org/10.1007/978-1-4419-9001-3_10
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-4755-2
Online ISBN: 978-1-4419-9001-3
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