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PROGRAM

Invited speakers: Peter Grünwald (CWI, the Netherlands) and Marko Grobelnik (Department for Intelligent Systems, J. Stefan Institute, Slovenia). The abstracts of the talks and more information on the speakers can be found here.

14 May

9.00 - 10.15 Registration
10.15 - 10.30 Opening
10.30 - 11.30 Invited Speaker: Peter Grünwald. The Momentum Phenomenon
11.30 - 12.20 Learning Optimal Decision Trees (Siegfried Nijssen and Elisa Fromont)
Alternative representations for web page classification (Stijn Prompers, Matthijs Mulder and Marten Den Uyl)
12.20 - 13.20 Lunch
13.20 - 14.30 Poster session
14.30 - 15.45 Learning Sparse Networks From Poor Data (Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ronald Westra and Karl Tuyls)
A Polynomial-time Metric for Outerplanar Graphs (Leander Schietgat, Jan Ramon and Maurice Bruynooghe)
Distribution based algorithms for feature weighting, ranking, and selection (Yvan Saeys and Yves Van de Peer)
15.45 - 16.15 Break
16.15 - 17.30 Superlinear parallelisation of the k-nearest neighbor classifier (Antal van den Bosch and Ko van der Sloot)
Constructing Reliable Classifiers for Road Side Assistance (Evgueni Smirnov, Mark Winands, Pieter Spronck and Maarten Schadd)
Improved monotone relabeling of partially non-monotone data (Michaël Rademaker, Bernard De Baets and Hans De Meyer)
18.30 - 21.00 Buffet at Restaurant Frankendael


15 May
9.15 - 10.15 Invited speaker: Marko Grobelnik. Text-analytics: using structured or flat representation?
10.15 - 10.40 Learning to Segment and Label Semi-Structured Documents with Little or No Supervision (Sander Canisius and Caroline Sporleder)
10.40 - 11.00 Break
11.00 -12.15 Temporal Patterns: discovery and use in predictive models. Case study in the Intensive Care (Tudor Toma, Ameen Abu-Hanna and Robert-Jan Bosman)
Stratified analysis of multivariate state changes in critically ill patients (Linda Peelen, Niels Peek, Nicolette F de Keizer and Robert Jan Bosman)
Predicting Web User Behavior with Mixture Models (Wojtek Kowalczyk and Dhiraj Hegde)
12.15 - 13.15 Lunch
13.15 - 14.30 Meta-learning from Experiment Databases: An Illustration (Joaquin Vanschoren, Anneleen Van Assche, Celine Vens and Hendrik Blockeel)
Learning resistance mutation pathways of HIV (Jan Ramon, Snezhana Dubrovskaya and Hendrik Blockeel)
A Graphical Shopping Interface Based on Product Attributes (Martijn Kagie, Michiel van Wezel and Patrick J.F. Groenen)
15.00 - 15.25 Break
15.25 - 16.15 Transfer Learning using MDL and a Decision Tree Application (Hoskuldur Hlynsson and Maarten van Someren)
An algorithm for learning real-time automata (Sicco Verwer, Mathijs de Weerdt and Cees Witteveen)