Network Machine Learning
draft-jiang-nmlrg-network-machine-learning-01
The information below is for an old version of the document.
Document | Type |
This is an older version of an Internet-Draft whose latest revision state is "Expired".
Expired & archived
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Author | Sheng Jiang | ||
Last updated | 2016-10-24 (Latest revision 2016-07-07) | ||
RFC stream | (None) | ||
Formats | |||
Stream | Stream state | (No stream defined) | |
Consensus boilerplate | Unknown | ||
RFC Editor Note | (None) | ||
IESG | IESG state | Expired | |
Telechat date | (None) | ||
Responsible AD | (None) | ||
Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
This document introduces background information of machine learning briefly, then explores the potential of machine learning techniques for networks. This document is serving as a white paper of the (proposed) IRTF Network Machine Learning Research Group.
Authors
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)