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

NA Huynh, WK Ng, K Ariyapala - Expert Systems with Applications, 2018 - Elsevier
Abstract Concept drift is the problem that the statistical properties of the data generating
process change over time. Recently, the Time Decaying Adaptive Prediction (TDAP) …
被引用次数：6 相关文章

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

NA Huynh, WK Ng, K Ariyapala - 2018 - dr.ntu.edu.sg
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 …

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

NA Huynh, WK Ng, K Ariyapala - Expert Systems with Applications: An …, 2018 - dl.acm.org
Propose a new adaptive learning algorithm to address the problem of concept drift. Use a
decaying factor to discount previous learning examples. Use a concept drift detector to reset …

Learning under Concept Drift with Follow the Regularized Leader and Adaptive Decaying Proximal

NA Huynh, WK Ng, K Ariyapala - 2017 - academia.edu
Accepted Manuscript Page 1 Accepted Manuscript Learning under Concept Drift with Follow the
Regularized Leader and Adaptive Decaying Proximal Ngoc Anh Huynh, Wee Keong Ng …