Introduction

Today, based on the advances in IT and digital data storage, in many industrial, economic, medical or other application areas, increasing amounts of signals, measurements, images and other types of data become available, implicitly describing underlying processes or structures. With this availability the potential - and need - arises for advanced intelligent tools to extract the underlying information, predict, diagnose, estimate or make use of it in some other way, in order to optimize or improve services. Since structure in this data is mostly hidden under noise, due to the stochastic nature of the processes and their measurement, robust and adaptive tools are needed that can cope with this nature.

"Computational intelligence and learning" intends answering to this need; it gathers research work carried out in various disciplines, with the objective of adding some form of intelligence or automatic learning of situations and properties in algorithms, data processing tasks, data mining, information extraction, etc. Computational intelligence and learning concerns disciplines and concepts such as machine learning, artificial neural networks, data mining, fuzzy logic, evolutionary computation, probabilistic techniques.

Quick links

• To view the list of events or to register to lectures, browse the agenda
• The list of registered groups is available on the teams page
• The members of the CIL doctoral school are listed on the members page
• You can use the RSS feed of the agenda to be automatically warned of new events.

Announcing events

• It is clearly related to the Computational Intelligence and Learning fields
• It takes place in Belgium (with a few exceptions, like joint Belgian events such as Benelux meetings)
• The language used for the event is English

Upcoming events

See the agenda for full details