Concept Drift Adaptation with Incremental–Decremental SVM
Data classification in streams where the underlying distribution changes over time is known to be difficult. This problem—known as concept drift detection—involves two aspects: (i) detecting the concept drift and (ii) adapting the classifier. Online training only considers the most recent samples; t...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-10-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/20/9644 |