Abstract

We evaluate the performance of two domain adaptation approaches for machine learning assisted quality of transmission estimation of an optical lightpath, for a fixed/variable number of available training samples from the source/target domain.

© 2020 The Author(s)

PDF Article
More Like This
Active vs Transfer Learning Approaches for QoT Estimation with Small Training Datasets

Dario Azzimonti, Cristina Rottondi, Alessandro Giusti, Massimo Tornatore, and Andrea Bianco
M4E.1 Optical Fiber Communication Conference (OFC) 2020

Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks

Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, and S. J. Ben Yoo
Th3D.1 Optical Fiber Communication Conference (OFC) 2020

Using Active Learning to Decrease Probes for QoT Estimation in Optical Networks

Dario Azzimonti, Cristina Rottondi, and Massimo Tornatore
Th1H.1 Optical Fiber Communication Conference (OFC) 2019

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription