NDLI: Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach

Content Provider	IEEE Xplore Digital Library
Author	Karnick, M. Muhlbaier, M.D. Polikar, R.
Copyright Year	2008
Description	Author affiliation: Electr. & Comput. Eng., Rowan Univ., Glassboro, NJ, USA (Karnick, M.; Muhlbaier, M.D.; Polikar, R.)
Abstract	We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new environment, we generate a new classifier. Classifiers are combined through dynamically weighted majority voting, where voting weights are determined based on classifiers¿ age and accuracy on current and past environments. The most recent and relevant classifiers are weighted higher, allowing the algorithm to appropriately adapt to drifting concepts. This algorithm does not discard prior classifiers, allowing efficient learning of potentially cyclical environments. The algorithm learns incrementally, i.e., without access to previous data. Finally, the algorithm can use any supervised classifier as its base model, including those not normally capable of incremental learning. We present the algorithm and its performance using different base learners in different environments with varying types of drift.
Starting Page	1
Ending Page	4
File Size	554334
Page Count	4
File Format	PDF
ISBN	9781424421749
ISSN	10514651
DOI	10.1109/ICPR.2008.4761062
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Voting Training data Change detection algorithms Nonlinear equations Distributed computing Data engineering Design engineering Algorithm design and analysis Boosting Pattern recognition
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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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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