NML Proposed RG Agenda for IETF-94 (Yokohama)

    Networking Machine Learning Proposed Research Group

    Chairs: Brian Carpenter & Sheng Jiang

 

There is one session (150 minutes) for the NML Proposed RG:

Tuesday, Morning Session I 0900-1130

 

Tuesday (November 3rd, 2015) 2.5-hour session:

9:00-11:30    Tuesday Morning session I, Room 304

1.      WG Dash - 5 min
9:00 - 9:05, by co-chairs

2.     Introduction to Machine Learning, its potential usage in network area,
& the proposed NMLRG - 25 min
9:05 - 9:30, by Sheng Jiang
draft-jiang-nmlrg-network-machine-learning

3.      Multidimensional Aggregation for DNS monitoring - 25 min
9:30 - 9:55, by Jérôme François

4.      Applying Machine Learning to Software-Defined Networks
Use-cases and ongoing experimental results - 30 min
9:55 - 10:25, by Albert Cabellos

5.      Machine Learning in Spam Filtering - 15 min
10:25 - 10:40, by John Levine

6.      Autonomic Network Configuration Using Machine Learning - 25 min
10:40 - 11:05, by Shufan Ji

7.      Research on Network Fault Analysis Based on Machine Learning - 20 min
11:05 - 11:25, by Haibing Song

8.      RG Closing - 5 min
11:25 -11:30, by co-chairs