NDLI: Belief learning in certainty factor model and its application to text categorization

Content Provider	IEEE Xplore Digital Library
Author	Qu, W. Shirai, K.
Copyright Year	2003
Description	Author affiliation: Dept. of Inf. & Comput. Sci., Waseda Univ., Japan (Qu, W.; Shirai, K.)
Abstract	This paper describes a method of belief learning in certainty factor model and applied to a task of text categorization. The method uses a multiplicative update algorithm to perform the belief learning of rules and predicts by a certainty (plausible) inference mechanism. The key difference between the proposed method and Sleeping-experts algorithms is that the method uses the rule's combination functions instead of the weighted combination of the predictions. When applied to a text categorization task, this method can easily integrates user defined IF-THEN rules due to being compatible with expert system's rules combination framework. The initial experiments show that the performance of this method is comparable to Sleeping-experts method. Moreover, it has better time and space efficiency than Sleeping-experts method.
Sponsorship	Microsoft Res. Asia Singapore Exhibition and Convention Bureau
Starting Page	1192
Ending Page	1196
File Size	334153
Page Count	5
File Format	PDF
ISBN	0780381858
DOI	10.1109/ICICS.2003.1292649
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-12-15
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Text categorization Learning systems Inference algorithms Machine learning algorithms Resists Acoustic noise Bayesian methods Application software Computer science Inference mechanisms
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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