Freiburg, Leuven, and Friends 2005

This is a preliminary program proposal. It includes an invited talk by Paolo Frasconi.

08.30-09.45	Breakfast
09.45-10.00	Opening
10.00-11.00	Gemma Casas Garriga	Galois connections for mining structured objects
	Stefan Raeymaekers	Information extraction tool using (k,l)-contextual tree automata
11.00-11.30	Coffee Break
11.30-12.30	Siegfried Nijssen	On the connections between frequent pattern mining and ROC spaces
	Tadeusz Pietraszek	Optimizing Abstaining Classifiers using ROC Analysis
12.30-14.00	Lunch
14.00-15.30	Andreas Karwath	Learing Chemical Reactions
	Toon Calders	NDI: a condensed representation for frequent sets
	Bjoern Bringmann	Frequent Hypergraph Mining
15.30-16.00	Coffee Break
16.00-17.30	Daan Fierens	Learning Logical Probability Trees
	Hendrik Blockeel	Multi-instance decision trees
	Bjoern Bringmann and Albrecht Zimmermann	Tree2: Patterns and Decisions
17.30-18.30	Impromptu talks / discussion / walk / ...
18.30-??.??	Dinner

08.30-09.30	Breakfast
09.30-10.30	Paolo Frasconi	(To be announced)
10.30-11.00	Coffee Break
11.00-12.30	Werner Uwents	Relational learning with neural networks
	Niels Landwehr	(To be announced)
	Sunna Torge	Towards Learning Stochastic Logic Programs from Proof Banks
12.30-14.00	Lunch
14.00-15.00	Thomas Gaertner	On Multi-Kernel Methods
	Tamas Horvath	Cyclic Pattern Kernels Revisited
15.00-15.30	Coffee Break
15.30-16.40	Koen Deforche	Applying Bayesian network learning to learn HIV resistance pathways
	Fabian Guiza	Data Mining for predicting outcome in critically ill patients
17.00-19.00	Walk in Durbuy
19.00-??.??	Dinner

08.30-09.30	Breakfast
09.30-10.30	Luc de Raedt and/or Kristian Kersting	(To be announced)
10.30-11.00	Coffee Break
11.00-12.30	Martijn van Otterlo	The Logic behind Dynamic Programming
	Jan Ramon	Convergence of reinforcement learning using a decision tree learner for function approximation
	Robby Goetschalckx	Reinforcement Learning with Metric State Aggregation
12.30-14.00	Lunch
14.00-15.00	Karl Tuyls	An Evolutionary Game Theoretic Perspective on Multi-Agent Reinforcement
	Tom Croonenborghs	On Intelligent Agents in Relational Reinforcement Learning
15.00-15.30	Coffee Break
15.30-16.30	Joost Kok	(To be announced)
	Tayfun Gurel	Collective Classification via the Soft and the Hard Expectation Maximization Algorithm
16.30-17.00	Christine Korner	Active Learning on Spatial Data (impromptu talk)