MLNET - for your mailinglist

[Maarten van Someren]

                      MLNET - a European network of excellence 
         in Machine Learning, Case-Based Reasoning and Knowledge Acquisition



MLNET is a "network of excellence" in Machine Learning that is funded by 
the European Community to coordinate research, development and application 
of Machine Learning, Case-Based Reasoning and Knowledge Acquisition in the 
European Community. Activities of the network are:

* development and maintenance of an electronic information service that 
  gives access to information on: research groups, projects, datasets, 
  software, educational materials and links to other information services 
  (see http://www.mlnet.org/). This is the successor to the GMD information 
  service developed earlier by MLNET.

* development and maintenance of a scientific and technological outlook 
  ("technological roadmap") for these areas that acts as a guideline for the 
  planning and coordination of research and development. (Members of MLNET
  can take part in developing this.)

* development and maintenance of educational and "advertising" materials 
  for the areas of the network.

* organisation and support of events (e.g. European Conference on Machine
  Learning, European Workshop on Case-Based Reasoning, European Knowledge
  Acquisition Workshop, Multi-strategy learning workshop). Members of
  MLNET can propose to organise such events and apply for support. 

* funding of "ambassadors" who give presentations on Machine Learning, 
  Case-Based Reasoning or Knowledge Acquisition OUTSIDE the areas.
  (proposals for "ambassador visits" by a member of MLNET can be submitted 
  to the coordinator of MLNET, see below).


Institutes and companies in the European community and associated states can 
apply for membership. At the moment the information service is available for 
everyone. Only members of MLNET can receive financial support for organising 
or visiting MLNET events. MLNET collaborates with three other European 
networks (ERUDIT on uncertainty modelling, EvoNet on evolutionary computing 
and NEuroNet on neural network computing) on the theme Computational 
Intelligence and Learning (see http://www.dcs.napier/coil/). More information 
can be found at the MLNET Information Service.

	- maarten van someren (coordinator of MLNET, maarten at swi.psy.uva.nl)