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Machine Learning Regression vs. Classification for QoT Estimation of Unestablished Lightpaths

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We investigate a Machine Learning regression model for Optical Signal-to-Noise Ratio (OSNR) distribution estimation of unestablished lightpaths. The regressor exposes the estimation uncertainty and how close to a threshold each lightpath resides.

© 2020 The Author(s)

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