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Alleviating the independence assumptions of averaged one-dependence estimators by model weighting

Wang, L-M, Chen, P, Mammadov, Musa, Liu, Y and Wu, S-Y 2021, Alleviating the independence assumptions of averaged one-dependence estimators by model weighting, Intelligent Data Analysis, vol. 25, no. 6, pp. 1431-1451, doi: 10.3233/IDA-205400.


Title Alleviating the independence assumptions of averaged one-dependence estimators by model weighting
Author(s) Wang, L-M
Chen, P
Mammadov, MusaORCID iD for Mammadov, Musa orcid.org/0000-0002-2600-3379
Liu, Y
Wu, S-Y
Journal name Intelligent Data Analysis
Volume number 25
Issue number 6
Start page 1431
End page 1451
Total pages 21
Publisher IOS Press
Place of publication Amsterdam, The Netherlands
Publication date 2021
ISSN 1088-467X
1571-4128
Keyword(s) averaged one-dependence estimators
BAYESIAN NETWORK
COMBINATION
Computer Science
Computer Science, Artificial Intelligence
EFFICIENT
Independence assumption
model weighting
Science & Technology
Technology
Language eng
DOI 10.3233/IDA-205400
Field of Research 0801 Artificial Intelligence and Image Processing
0804 Data Format
1702 Cognitive Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30159611

Document type: Journal Article
Collections: Faculty of Science, Engineering and Built Environment
School of Information Technology
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Created: Mon, 29 Nov 2021, 11:37:10 EST

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