most citedTwo Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction

5 citations · 5 across the 1 of their papers we have counts for

collaborators

2 papers

cs.NI2018★ 5 cited

Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction

Gagan Choudhury, David Lynch, Gaurav Thakur +1

We describe two applications of machine learning in the context of IP/Optical networks. The first one allows agile management of resources at a core IP/Optical network by using mac…

math.FA2016

Reconstructing real-valued functions from unsigned coefficients with respect to wavelet and other frames

Rima Alaifari, Ingrid Daubechies, Philipp Grohs +1

In this paper we consider the following problem of phase retrieval: Given a collection of real-valued band-limited functions that consti…