COMP2SYS
Title:
COMP2SYS
(COMputational intelligence methods for COMplex SYStems)
Partner: IRIDIA
(Institut de Recherches Interdisciplinaires et de Développements
en Intelligence Artificielle)
Funding: European
Union FP6
Project number:
Duration: 2004-2008
COMP2SYS Web Site: http://iridia.ulb.ac.be/comp2sys/
Project overview:
This project focuses on the training of early stage researchers to the
use of Computational Intelligence techniques for the treatment of
complex systems in science and engineering. The programme aims at
developing the knowledge and skills necessary to solve complex problems
using the powerful emergent methods and tools of Computational
Intelligence.
Five main research topics are supported by the COMP2SYS programme:
1) Evolutionary computation
2) Ant colony optimization
3) Artificial chemistry and biological networks
4) Theoretical and applied machine learning
5) Swarm intelligence and swarm robotics
Machine Learning
Group contribution:
Within this scheme, the fourth topic will be mostly investigated at the
Computer Science Department, Université Libre de Bruxelles,
through the study of machine learning methods for data streams. A data
stream is an open-ended sequence of data, whose rate is high compared
to available computational ressources. Applications are numerous, both
in scienfific and in business fields, and the lack of theoretical and
practical tools for analysing data streams motivates research on this
particular aspect of data mining.
MLG researcher
involved:
Yann-Aël
Le Borgne (Machine Learning Group - Computer Science Department -
Université Libre de Bruxelles - Supervisor : Prof. Gianluca Bontempi).
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