Benelearn is the annual machine learning conference of Belgium and The Netherlands. It serves as a forum for researchers to exchange ideas, present recent work, and foster collaboration in the broad field of Machine Learning and its applications.

Contributions are now being invited that are relevant to machine learning and related disciplines in a broad sense.
Topics

We invite the submission of extended abstracts and papers on all aspects of machine learning and related disciplines, including, but not limited to:

* Kernel Methods
* Web/Link Mining
* Bayesian Networks
* Case-based Learning
* Computational Learning Theory
* Data Mining
* Evolutionary Computation
* Hybrid Learning Systems
* Graphical Models
* Inductive Learning
* Inductive Logic Programming
* Knowledge Discovery in Databases
* Language Learning
* Learning and Problem Solving
* Learning by Analogy
* Learning in Multi-Agent Systems
* Learning in Dynamic Domains
* Learning for Bioinformatics
* Multi-strategy Learning
* Neural Networks
* Reinforcement Learning
* Robot Learning
* Scientific Discovery
* Meta-Learning
* Statistical Learning
* Probabilistic Logic Learning
* Computational models of Human Learning
* Learning for Language and Speech
* Applications of Machine Learning
* Learning and Ubiquitous Computing