Second IFIP International Conference on Machine Learning for Networking (MLN 2019)

When:
16 September 2019 all-day
2019-09-16T00:00:00-04:00
2019-09-17T00:00:00-04:00
Cost:
Free
                    Technically co-sponsored by IFP WG 6.2

                       Paris, France, December 3-5, 2019

                   http://www.adda-association.org/mln-2019/

MLN 2019 is the second  edition  of  the  International  Conference  on  Machine
Learning for Networking. The goal of the conference is to provide  a  forum  for
scientists, engineers and researchers  to  discuss  and  exchange  novel  ideas,
results, experiences and work-in-process on all aspects of Machine Learning  and
Networking.  Each  year,  MLN  attendees  will  appreciate  and   benefit   from
multidisciplinary exchanges on these hot topics. MLN  2019  will  be  held  from
December 3rd to December 5th 2019, in Paris, France.

Authors are invited to submit complete unpublished papers, which are  not  under
review in any other conference or journal, to
                https://easychair.org/conferences/?conf=mln2019

The accepted papers wil be published as a post-proceedings in  Springer's  LNCS.
Lecture Notes in Computer Science (LNCS) series is indexed by the ISI Conference
Proceedings Citation Index - Science (CPCI-S), included in ISI Web  of  Science,
EI Engineering Index (Compendex and  Inspec  databases),  ACM  Digital  Library,
dblp, Google Scholar, Scopus, etc.

Selected papers will be further considered for possible publication in a Special
Issue of Annals of Telecommunications.

The topics of this track include, but are not limited to:

* Deep and Reinforcement learning
* Pattern recognition and classification for networks
* Machine learning for network slicing optimization
* Machine learning for 5G system
* Machine learning for user behavior prediction
* New innovative machine learning methods
* Optimization of machine learning methods
* Performance analysis of machine learning algorithms
* Experimental evaluations of machine learning
* Data mining in heterogeneous networks
* Machine learning for multimedia
* Machine learning for Internet of Things
* Machine learning for security and protection
* Distributed and decentralized machine learning algorithms
* Intelligent cloud-support communications
* Intelligent resource allocation
* Intelligent energy-aware/green communications
* Intelligent software defined networks
* Intelligent cooperative networks
* Intelligent positioning and navigation systems
* Intelligent wireless communications
* Intelligent wireless sensor networks
* Intelligent underwater sensor networks

Position papers are also welcome and should be clearly marked as such.

Important dates
---------------

Paper submission: September 16, 2019
Notification of acceptance: October 14, 2019
Final manuscripts due: October 28, 2019
Conference: December 3-5, 2019

Submission
----------

Submissions must not be published or submitted to a journal and/or  conference /
workshop with proceedings. All submissions should be anonymous (i.e., no  author
names/affiliations and obvious citations). Submissions are to  be  made  to  the
submission web site:

        https://easychair.org/conferences/?conf=mln2019

The accepted papers wil be published as a post-proceedings in Springer's LNCS.

Only pdf files are accepted. Submissions not meeting the above  guidelines  will
be rejected without other consideration. The camera-ready  version  of  accepted
papers will have to follow  the  Springer  guidelines  for  publication  in  the
Lecture Notes in Computer Science series.

Authors of accepted papers must present their papers at the conference. At least
one author of each accepted paper is required to register and present the paper. 

Best paper award
----------------

All papers are eligible for the best paper award. The award will be announced at
the conference.