CALL FOR PAPERS ----------------------------------------------------------------------
Thirteenth Dutch-Belgian Conference on Machine Learning.=20 BENELEARN 2004 January 8 and 9, 2004 Brussels, Belgium *************************************** http://benelearn04.vub.ac.be/ *************************************** BENELEARN is the annual machine learning conference for researchers in Belgium and the Netherlands. It serves as a forum to exchange ideas and present recent work. BENELEARN will be organized by the Computational Modeling Lab (COMO) located at the Vrije Universiteit Brussel (VUB) and the department of Industrial Science and Technology (IWT) at the Erasmus Hogeschool Brussel (EHB). The official language for this conference is English. BENELEARN invites relevant papers from Machine Learning domains, disciplines which are closely related and papers that cross borders between them Possible paper topics include (but are not limited to): Applications of machine learning, Bayesian learning, Support vector machines, Case-based learning, Computational learning theory, Data Mining, Evolutionary computation, Hybrid learning systems, Graphical models, Inductive learning, Scientific discovery, Statistical learning theory, Language learning, Learning by analogy, Learning in multi-agent systems, Learning by imitation, Learning classifier systems, Multi-strategy learning, Neural networks, Reinforcement learning, and, Robot learning. Papers are limited to 8 pages (11pt Times Roman), including figures, references and appendices. Style files can be downloaded from the conference website. All submitted papers will be reviewed in terms of their relevance to the conference and their clarity or overall understandability for a general Machine Learning audience. Electronic submissions in postscript or PDF to: [EMAIL PROTECTED] Important dates: Deadline submissions: October 3, 2003 Notifications: November 7, 2003 Final copy: December 5, 2003 Conference: January 8 and 9, 2004 Organising Committee: Bernard Manderick , Ann Now and Kris Steenhaut Further information : [EMAIL PROTECTED] or = http://benelearn04.vub.ac.be/
