NDLI: Online learning classifiers in dynamic environments with incomplete feedback

Content Provider	IEEE Xplore Digital Library
Author	Behdad, M. French, T.
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci. & Software Eng., Univ. of Western Australia, Crawley, WA, Australia (Behdad, M.; French, T.)
Abstract	In this paper we investigate the performance of XCSR (a real-valued genetics-based machine learning method) in an online environment in which the feedbacks are received with a delay and not for all the instances. The importance of such environments lies in the fact that many real world environments have these characteristics. For instance, in spam detection some of the undetected spam messages which are delivered to the user may be flagged as spam by user after a while. Hence, the feedback is both delayed and partial in this context. Similar situation can easily be imagined in other fraud detection contexts such as network intrusion and credit card fraud. We also present an architecture for an adaptable online XCSR and present two heuristics to deal with biased partial feedback environments. The heuristics use the information about the environment and their observations and create artificial feedbacks for the classifications that do not receive any feedback. We show that these heuristics always help XCSR learn better and perform more accurately in such situations.
Starting Page	1786
Ending Page	1793
File Size	1323590
Page Count	8
File Format	PDF
ISBN	9781479904532
e-ISBN	9781479904549
e-ISBN	9781479904525
DOI	10.1109/CEC.2013.6557777
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-20
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Delays Electronic mail Accuracy Training Sociology Statistics Testing
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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