Learning to Classify DWDM Optical Channels from Tiny and Imbalanced Data

Learning to Classify DWDM Optical Channels from Tiny and Imbalanced Data

Applying machine learning algorithms for assessing the transmission quality in optical networks is associated with substantial challenges. Datasets that could provide training instances tend to be small and heavily imbalanced. This requires applying imbalanced compensation techniques when using bina...

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Bibliographic Details
Main Authors: Paweł Cichosz, Stanisław Kozdrowski, Sławomir Sujecki
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Entropy
Subjects:
machine learning
optical networks
imbalanced data
one-class classification
Online Access:https://www.mdpi.com/1099-4300/23/11/1504

Internet

https://www.mdpi.com/1099-4300/23/11/1504

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