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

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Abstract

We use active learning to reduce the number of probes needed for machinelearning-based QoT estimation. When building an estimation model based on Gaussian processes, only QoT instances that minimize estimation uncertainty are iteratively requested.

© 2019 The Author(s)

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