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Learning Bayesian Networks: A Unificatio...

Heckerman, David...

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Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains by Heckerman, David ( Author )

Content Provider	Lemonjar Open Access
Publisher	Australian National University
Publication Date	01-08-2023
Summary	We examine Bayesian methods for learning Bayesian networks from a combination of prior knowledge and statistical data. In particular, we unify the approaches we presented at last year's conference for discrete and Gaussian domains. We derive a general Bayesian scoring metric, appropriate for both domains. We then use this metric in combination with well-known statistical facts about the Dirichlet and normal--Wishart distributions to derive our metrics for discrete and Gaussian domains.
ISBN	-
Item Type	Article
File Type	pdf
File Size	30.00 KB
Language	English
Subjects	-
Charge Per Copy	MYR 0.01
Available copies	1
Total read	-
URL	http://arxiv.org/abs/1302.4957

Citation

Review the full bibliography data and make any necessary corrections before using. Always consult your library resources for the exact formatting and punctuation guidelines.

AMA 11th EditionReferences

Heckerman, David. Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains. Australian National University. August 01, 2023. Accessed August 10, 2025. https://online.provdatabase.com/cite/9837

APA 7th EditionReferences

Heckerman, David. (2023). Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains. Australian National University. https://online.provdatabase.com/cite/9837

Chicago 17th EditionReferences

Heckerman, David. Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains. Australian National University. 2023. https://online.provdatabase.com/cite/9837

HarvardReferences

Heckerman, David. (2023). Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains. [Online]. Australian National University. Available from: https://online.provdatabase.com/cite/9837. (Accessed 10 August 2025).

Harvard AustraliaReferences

Heckerman, David, 2023, Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains, Australian National University, viewed 10 August 2025, <https://online.provdatabase.com/cite/9837>

MLA 9th EditionWorks Cited

Heckerman, David. Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains. Australian National University, 2023. PROV Database, https://online.provdatabase.com/cite/9837.

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