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NML (Network Machine Learning) Proposed RG meeting #5 Seoul, with IETF97. Thursday Afternoon I, Studio 4 13:30-15:00. Last update: November, 15 th , 2016. IRTF IPR Policy. The IRTF follows the IETF Intellectual Property Rights (IPR) disclosure rules.
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NML (Network Machine Learning) Proposed RG meeting #5Seoul, with IETF97 Thursday Afternoon I, Studio 4 13:30-15:00 Last update: November, 15th, 2016 Proposed NMLRG
IRTF IPR Policy The IRTF follows the IETF Intellectual Property Rights (IPR) disclosure rules. This is a summary of these rules as they relate to IRTF research group discussions, mailing lists and Internet Drafts • If you include your own or your employer’s IPR in a contribution to an IRTF research group, then you must file an IPR disclosure with the IETF. • If you recognize your own or your employer’s IPR in someone else’s contribution and you are participating in the discussions in the research group relating to that contribution , then you must file an IPR disclosure with the IETF. Even if you are not participating in the discussion, the IRTF still requests that you file an IPR disclosure with the IETF. • Finally, the IRTF requests that you file an IPR disclosure with the IETF if you recognize IPR owned by others in any IRTF contribution. The IRTF expects that you file IPR disclosures in a timely manner, i.e., in a period measured in days or weeks, not months. The IRTF prefers that the most liberal licensing terms possible are available for IRTF Stream documents, see RFC 5743. You may file an IPR disclosure here: hHp://www.ietf.org/ipr/file-disclosure. See RFC 3979 (BCP 79) for definitions of “IPR” and “contribution” and for the detailed rules (substituting “IRTF” for “IETF”). Proposed NMLRG
Before begin the meeting • Mailing List nmlrg@irtf.orghttps://www.irtf.org/mailman/listinfo/nmlrg • Proposed NMLRG web page: https://datatracker.ietf.org/rg/nmlrg/http://trac.tools.ietf.org/group/irtf/trac/wiki/nml • WG co-chairs: • Albert Cabellos • Sheng Jiang • Proceedings https://datatracker.ietf.org/meeting/97/materials.html#nmlrg Proposed NMLRG
Meeting Agenda • Session I: 13:30-15:00 • WG Dash - 5 min13:30 - 13:35, by co-chairs • Expectations to Machine Learning to Network Management - 25 min13:35 - 14:00, by Kohei Shiomoto • Machine Intelligence and Networking Challenges, Opportunities and Realities - 20 min14:00 - 14:20 David Meyer • Intelligence Defined Network - 25 min14:20 - 14:45, by Sheng Jiang • Mobile network state characterization and prediction - 10 min14:45 - 14:55, by Voula Vassaki • Summary & NMLRG Future Activities - 5 min14:55 -15:00, by co-chairs Proposed NMLRG