Calibrated Probabilistic QoT Regression for Unestablished Lightpaths in Optical Networks
Author:
Affiliation:
1. Politecnico di Milano
2. Politecnico di Torino
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9900485/9900511/09900791.pdf?arnumber=9900791
Reference22 articles.
1. Accurate Quality of Transmission Estimation With Machine Learning
2. On the Robustness of a ML-based Method for QoT Tool Parameter Refinement in Partially Loaded Networks
3. Associating machine-learning and analytical models for quality of transmission estimation: combining the best of both worlds
4. Machine learning regression for QoT estimation of unestablished lightpaths
5. Ad-Hoc, Mobile, and Wireless Networks: 19th International Conference on Ad-Hoc Networks and Wireless;grieco;ADHOC-NOW 2020 Bari Italy October 19–21 2020 Proceedings,2020
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