Lambda-perceptron: an adaptive classifier for data-streams

Pavlidis, N and Tasoulis, Dimitrios and Adams, N M and Hand, D J (2011) Lambda-perceptron: an adaptive classifier for data-streams. Pattern Recognition, 44 (1). pp. 78-96. ISSN 0031-3203

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Abstract

Streaming data introduce challenges mainly due to changing data distributions (population drift). To accommodate population drift we develop a novel linear adaptive online classification method motivated by ideas from adaptive filtering. Our approach allows the impact of past data on parameter estimates to be gradually removed, a process termed forgetting, yielding completely online adaptive algorithms. Extensive experimental results show that this approach adjusts the forgetting mechanism to maintain performance. Moreover, it might be possible to exploit the information in the evolution of the forgetting mechanism to obtain information about the type and speed of the underlying population drift process.

Item Type:
Journal Article
Journal or Publication Title:
Pattern Recognition
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1707
Subjects:
ID Code:
45707
Deposited By:
Deposited On:
11 Jul 2011 18:36
Refereed?:
Yes
Published?:
Published
Last Modified:
27 Sep 2020 01:15