Learning under concept drift with follow the regularized leader and adaptive decaying proximal

Learning under concept drift with follow the regularized leader and adaptive decaying proximal

Concept drift is the problem that the statistical properties of the data generating process change over time. Recently, the Time Decaying Adaptive Prediction (TDAP) algorithm1 was proposed to address the problem of concept drift. TDAP was designed to account for the effect of drifting concepts by di...

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Bibliographic Details
Main Authors: Huynh, Ngoc Anh, Ng, Wee Keong, Ariyapala, Kanishka
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2018
Subjects:
Concept Drift
Decaying Rate
Online Access:https://hdl.handle.net/10356/87712
http://hdl.handle.net/10220/45494
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/87712
http://hdl.handle.net/10220/45494

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