Semi-supervised learning for k-dependence Bayesian classifiers
Semi-supervised learning for k-dependence Bayesian classifiers
About this item
Full title
Author / Creator
Wang, LiMin , Zhang, XinHao , Li, Kuo and Zhang, Shuai
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Bayesian network classifiers (BNCs) are powerful tools for graphically encoding the dependency relationships among variables in a directed acyclic graph and reasoning under conditions of uncertainty. Ever increasing data quantity makes ever more urgent the need of BNCs that are highly scalable and can perform significantly better in terms of classi...
Alternative Titles
Full title
Semi-supervised learning for k-dependence Bayesian classifiers
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2631473854
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2631473854
Other Identifiers
ISSN
0924-669X
E-ISSN
1573-7497
DOI
10.1007/s10489-021-02531-y
