In recent decades, the diversification of automated learning
applications has led to new requirements inherent in the availability of
large-scale data. Given the new scientific and technological challenges
that are encountered, mathematical optimization has been established as
the right approach for many machine learning problems. The specific
requirements of machine learning raise new challenges for optimization.
In turn, optimization takes advantage of machine learning insofar as
concepts, formalisms, approximations and algorithms are revisited.
The International Conference on Learning and Optimization
Algorithms: Theory and Applications (LOPAL'2018), which is to be held on
2 - 5 May 2018 at ENSIAS, Mohammed V University in Rabat, Morocco,
bridges the gap between the these two areas of knowledge. LOPAL'2018
will be a relevant opportunity for researchers, practitioners, and
educators to present and discuss the most recent innovations, trends,
and concerns together with the theoretical and practical challenges
encountered these areas and their applications.
LOPAL'2018 welcomes original papers on all research areas related to
the theoretical aspects of Machine Learning, Optimization, their
interfaces, and the application of their algorithms in various domains.
All accepted Papers (regular, short and poster) will be published by
ACM - International Conference Proceedings Series (ICPS) and will be
available in the ACM Digital Library. The ISBN number assigned by ACM
ICPS to LOPAL'2018 is 978-1-4503-5304-5.
Extended versions of high quality papers presented at the
Conference will be subjected to a 2nd evaluation for their publication
in indexed journals.
Topics:
- Machine Learning
- Optimization
- Forecasting
- Swarm Intelligence
- Social Media Analytics
- Big Data Analytics
- Cloud Computing Algorithms
- Smart Systems
