A fast calculation of metric scores for learning Bayesian network
A fast calculation of metric scores for learning Bayesian network
About this item
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Publisher
Beijing: Springer Nature B.V
Journal title
Language
English
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Publisher
Beijing: Springer Nature B.V
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Scope and Contents
Contents
Frequent counting is a very so often required operation in machine learning algorithms. A typical machine learning task, learning the structure of Bayesian network (BN) based on metric scoring, is introduced as an example that heavily relies on frequent counting. A fast calculation method for frequent counting enhanced with two cache layers is then...
Alternative Titles
Full title
A fast calculation of metric scores for learning Bayesian network
Authors, Artists and Contributors
Author / Creator
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TN_cdi_proquest_journals_2918683467
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918683467
Other Identifiers
ISSN
2153-182X
E-ISSN
2153-1838
DOI
10.1007/s11633-012-0614-8
