Freiburg, Leuven, and Friends 2005

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

Monday, March 7th, 2005

08.30-09.45Breakfast
09.45-10.00Opening
10.00-11.00Gemma Casas GarrigaGalois connections for mining structured objects
Stefan RaeymaekersInformation extraction tool using (k,l)-contextual tree automata
11.00-11.30Coffee Break
11.30-12.30Siegfried NijssenOn the connections between frequent pattern mining and ROC spaces
Tadeusz PietraszekOptimizing Abstaining Classifiers using ROC Analysis
12.30-14.00Lunch
14.00-15.30Andreas KarwathLearing Chemical Reactions
Toon CaldersNDI: a condensed representation for frequent sets
Bjoern BringmannFrequent Hypergraph Mining
15.30-16.00Coffee Break
16.00-17.30Daan FierensLearning Logical Probability Trees
Hendrik BlockeelMulti-instance decision trees
Bjoern Bringmann and Albrecht ZimmermannTree2: Patterns and Decisions
17.30-18.30Impromptu talks / discussion / walk / ...
18.30-??.??Dinner

Tuesday, March 8th, 2005

08.30-09.30Breakfast
09.30-10.30Paolo Frasconi(To be announced)
10.30-11.00Coffee Break
11.00-12.30Werner UwentsRelational learning with neural networks
Niels Landwehr(To be announced)
Sunna TorgeTowards Learning Stochastic Logic Programs from Proof Banks
12.30-14.00Lunch
14.00-15.00Thomas GaertnerOn Multi-Kernel Methods
Tamas HorvathCyclic Pattern Kernels Revisited
15.00-15.30Coffee Break
15.30-16.40Koen DeforcheApplying Bayesian network learning to learn HIV resistance pathways
Fabian GuizaData Mining for predicting outcome in critically ill patients
17.00-19.00Walk in Durbuy
19.00-??.??Dinner

Wednesday, March 9th, 2005

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