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2023 | OriginalPaper | Chapter

Concept Drift Detection and Update Algorithm Based on Online Restricted Boltzmann Machine

Authors : Qianwen Zhu, Jinyu Zhou, Wei Wang

Published in: Artificial Intelligence in China

Publisher: Springer Nature Singapore

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Abstract

In this paper, we address a concept drift detection and update algorithm based on the online restricted Boltzmann machine (O-RBM). We introduce an attention mechanism into RBM, and the parameters of each classifier in the concept drift detection model are updated according to the important information mined by the attention mechanism. The updated model complies with the various data better and judges the types and states of new data online. In the experiments, we compare the performance of the proposed algorithm with the algorithm proposed in our previous work, and the results show that O-RBM plays even better in concept drift detection.

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Metadata
Title
Concept Drift Detection and Update Algorithm Based on Online Restricted Boltzmann Machine
Authors
Qianwen Zhu
Jinyu Zhou
Wei Wang
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Artificial Intelligence in China

Print ISBN: 978-981-9912-55-1

Electronic ISBN: 978-981-9912-56-8

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-99-1256-8_36

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