MADS 2017 - Symposium on Machine Learning and Metaheuristics Techniques and Applications for Dependable Distributed Systems (MADS’17)

Symposium on Machine Learning and Metaheuristics Techniques and Applications for Dependable Distributed Systems (MADS’17)
November 6-10, 2017, Orlando, Florida, USA
http://www.iiitmk.ac.in/mads-symposium/
Co-located with DASC 2017: The 15th IEEE International Conference on Dependable, Autonomic and Secure Computing
===
EDAS Submission Link: http://edas.info/N23687
Submission Deadline: May 31, 2017
Contact:mads.symposium-AT-gmail.com
===
MADS’17 aims to provide a forum for scientists and researchers to present their latest results and a means to discuss the recent developments in machine learning, metaheuristics and their applications in dependable distributed systems. The organizers solicit previously unpublished papers offering novel research contributions in any aspect of machine learning, metaheuristics and their applications to dependable distributed systems.
We invite submissions for the following tracks:
Track 1: Machine Learning and Metaheuristics Techniques
Track 2: Applications Machine Learning and Metaheuristics Techniques in Dependable Distributed Systems
Research paper (8 pages) should explore a specific technology problem and propose a complete solution to it, with experimental results. All accepted papers will be included into the IEEE conference proceedings published by IEEE Computer Society Press (EI indexed).
Important Dates
---
Paper Submission Due: May 31, 2017
Author Notification: July 15, 2017
Camera-ready Paper Due: August 15, 2017
Registration Due: August 15, 2017