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An information theoretic seoring function in belief network
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 11, Issue 5 (30 Sep. 2014)10 p.
Publisher
Publication Date
2014-09-30
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
We proposed a novel measure of mutual information known as Integration to Segregation (I2S) explaining the relationship between two features.
We investigated its nontrivial characteristics while comparing its performance in terms of class imbalance measures.
We have shown that I2Spossesses characteristics useful in identifying sink and source (parent) in a conventional directed acyclic graph in structure learning technique such as Bayesian Belief Network.
We empirically indicated that identifying sink and its parent using conventional scoring function is not much impressive in maximizing discriminant function because it is unable to identify best topology.
However, I2S is capable of significantly maximizing discriminant function with the potential of identifying the network topology in structure learning.
American Psychological Association (APA)
Naim, Muhammad& Asghar, Suhayl. 2014. An information theoretic seoring function in belief network. The International Arab Journal of Information Technology،Vol. 11, no. 5.
https://search.emarefa.net/detail/BIM-360451
Modern Language Association (MLA)
Naim, Muhammad& Asghar, Suhayl. An information theoretic seoring function in belief network. The International Arab Journal of Information Technology Vol. 11, no. 5 (Sep. 2014).
https://search.emarefa.net/detail/BIM-360451
American Medical Association (AMA)
Naim, Muhammad& Asghar, Suhayl. An information theoretic seoring function in belief network. The International Arab Journal of Information Technology. 2014. Vol. 11, no. 5.
https://search.emarefa.net/detail/BIM-360451
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-360451